Data Science Manager

A leading diversified conglomerate is building out a new enterprise architecture function and is looking for a visionary leader to head this capability. This is a greenfield opportunity to define and scale an EA practice from the ground up-starting with a small team of domain-specific Architects-with a clear focus on leveraging AI, data, and technology innovation to drive business transformation across a group of consumer-focused companies.About the role: This role will be central to shaping and executing the enterprise architecture strategy, with a specific mandate to harness artificial intelligence and emerging technologies to unlock new business value. You'll align IT systems and architecture with commercial goals, with a sharp focus on improving consumer experience, operational agility, and data-driven decision-making.Key responsibilities:Define and lead a modern EA strategy that embeds AI, data, and automation at its core.Build and mentor a team of domain architects, fostering a culture of innovation and continuous improvement.Establish and enforce architecture standards and governance frameworks (e.g., TOGAF, Zachman).Design scalable, future-ready technology solutions that support business objectives across the group.Identify and drive adoption of emerging technologies that enhance consumer engagement and operational efficiency.Translate business and consumer strategies into IT roadmaps and digital transformation initiatives.Modernise legacy systems and integrate digital platforms to support business agility.Collaborate with senior leadership to ensure EA delivers measurable commercial impact. About you:Proven experience in driving AI and data-led enterprise architecture initiatives.Strong grasp of cloud platforms (AWS, Azure, GCP), microservices, APIs, and modern data architectures.Deep understanding of how to apply technology innovation in direct-to-consumer businesses (e.g., Retail, FMCG, Manufacturing, Pharma).Familiarity with enterprise systems (ERP, CRM, HCM) and how to optimise them for customer-centric outcomes.Strategic thinker with the ability to influence at C-level and drive change across multiple business units.Skilled at balancing long-term architectural vision with immediate business needs and execution.Strong leadership, communication, and stakeholder management skills.

A fast-growing fintech company is seeking a Data Science Manager to lead a high-performing team of data scientists and analysts. This role is ideal for a hands-on leader with a passion for innovation, financial technology, and data-driven decision-making.About the role:Lead and mentor a team of data scientists, promoting a collaborative and high-performance culture.Design and implement advanced models for risk scoring, fraud detection, credit analytics, and customer segmentation.Partner with engineering, product, and compliance teams to integrate data science solutions into scalable fintech products.Own the full lifecycle of data projects from ideation to deployment and ongoing performance monitoring.Translate complex data insights into clear strategic recommendations for executive stakeholders.Ensure data governance, model explainability, and ethical AI practices are embedded in all initiatives. About You:Proven experience in data science, with at least 2 years in a leadership role.Strong background in statistics, machine learning, and predictive modeling.Proficiency in Python, SQL, and cloud-based data platforms (e.g., AWS, GCP, or Azure).Experience in a fintech or financial services environment is highly preferred.Excellent communication skills and the ability to influence both technical and non-technical stakeholders. What's on Offer:Competitive salary and equity optionsOpportunity to shape the future of financial technology through dataFlexible working arrangements and a strong culture of innovationExposure to complex, real-world data problems at scale

Cyber Security Engineer - SC Cleared - 6 monthsRate: £700 per dayIR35 - InsideLocation - 2 days per week on-site (London)The role:A Central Government Institution are seeking a Cyber Security Engineer, with experience of DevSecOps principles and tools, to undertake an initial 6 month contract.You will be joining Application Security Team who are focused on building security automation into delivery pipelines and conducting security focused tests against digital services.Skills & experience required bullet points Key Responsibilities Perform penetration testing and vulnerability assessments of web applications, APIs, and cloud infrastructure.Evaluate the automated security tooling into CI/CD pipelines (SAST, DAST, dependency checking, IaC etc), and make necessary recommendations.Collaborate with developers to remediate identified vulnerabilities and ensure secure code practices.Provide expert input on cloud security (AWS, Azure, or GCP) and DevSecOps tooling.Assist in maintaining security assurance across the SDLC in line with NCSC guidelines. Essential CriteriaDemonstrable experience with:Penetration testing, ethical hacking, or vulnerability assessments.Security testing tools (e.g., Burp Suite, OWASP ZAP, Nikto, Nmap, Metasploit, etc.).DevSecOps principles and tools (e.g., Veracode, SonarQube, GitHub Advanced Security, IaC scanning, etc.).Secure Cloud Infrastructure, specifically AWS and Azure.Scripting and automation using Python and Bash.Certifications: OSCP or CREST / TIGER Scheme.Strong communication skills and the ability to explain security issues to technical and non-technical stakeholders. DesirableExperience delivering assessments under the CHECK scheme (e.g., as a CHECK Team Member/Leader).Knowledge of UK public sector security and data protection standards (e.g., NCSC, Cyber Essentials Plus).Threat modelling and secure design practices.If you are availabale and interested, please aplly in the first instance and you will be contacted to discuss the position further.

A leading bank is hiring a Machine Learning Engineer to join its growing data and technology team. The successful candidate will be instrumental in developing and deploying machine learning solutions that enhance customer experience, streamline operations, and strengthen risk management.About the role:Develop, deploy, and maintain machine learning models across various banking use cases, including fraud detection, credit scoring, and customer insights.Collaborate with cross-functional teams to understand business challenges and translate them into scalable ML solutions.Implement data pipelines and model monitoring systems to ensure performance and compliance.Work with large, complex datasets and apply best practices in data governance and security.Stay current with developments in AI/ML and proactively suggest new approaches and technologies. About you:Proven experience (5+ years) in a machine learning or applied data science role.Strong programming skills in Python, with experience using ML frameworks such as scikit-learn, TensorFlow, or PyTorch.Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.Strong grasp of software engineering principles and version control.Previous experience in financial services or regulated industries is highly advantageous.

We're partnered with an established tech company at the forefront of AI innovation, and they're looking to hire a Security Engineer with a strong focus on AI/ML systems. This is an opportunity to join a high-impact team working on the next generation of machine learning platforms-where security, trust, and resilience are core to the mission.About the role: You'll play a critical role in securing the company's AI/ML infrastructure, helping to build out end-to-end safeguards across data pipelines, model training environments, and deployment systems. This is a hands-on engineering role for someone who understands both traditional security practices and the unique challenges posed by modern AI/ML stacks.Key responsibilities include:Designing and implementing security controls tailored to AI/ML workflowsIdentifying and mitigating ML-specific risks (e.g., model theft, adversarial inputs, data poisoning)Working closely with engineering and data science teams to embed security into model lifecyclesDeveloping tooling and automation for secure deployment and continuous monitoringStaying current on the evolving threat landscape in AI and contributing to internal knowledge sharing About you:5+ years of experience in security engineering, ideally with exposure to ML systemsStrong knowledge of threat modeling, secure coding, and cloud infrastructure security (AWS/GCP/Azure)Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data platforms (e.g., Spark, Airflow)Proficiency in scripting or software development (Python preferred)Bonus: Experience in areas like LLM security, model interpretability, or data governance

We're looking for a BI Engineer who lives and breathes Power BI-and knows the surrounding Azure stack inside out. You'll play a key role in building scalable, insightful data solutions that drive real business decisions. This isn't just about dashboards. It's about understanding the why behind the data and delivering meaningful outcomes. What we're looking for:Deep expertise in Power BI - from data modeling and DAX to custom visuals and Power BI Service.Hands-on experience across the Azure data ecosystem - including Azure Data Factory, Azure Synapse, Azure SQL, and Azure Data Lake.Strong SQL skills and an understanding of ETL processes.Ability to partner with stakeholders to translate business questions into data-driven insights.Comfortable working independently in a fast-paced, product-led environment.

Job Title: AWS Platform Engineer (Contract) Location: Remote / UK-based (occasional travel may be required) Contract Length: 6 months + Ext Day Rate: £500-£600 per day (Outside IR35) Start Date: ASAPOverviewA leading organisation are undergoing a large-scale digital transformation and are seeking a highly skilled AWS Platform Engineer to join their DevOps & Cloud Infrastructure team on a contract basis. This is a strategic appointment aimed at driving forward the organisation's cloud platform capability, ensuring robust, scalable and secure services that support critical business operations.Key Responsibilities - AWS Platform EngineerDesign, build, and maintain infrastructure as code (IaC) using tools such as Terraform or CloudFormation.Develop and enhance CI/CD pipelines for high-availability cloud-based solutions.Manage cloud resources within AWS, ensuring optimal performance, cost-efficiency and compliance.Collaborate with software engineering, architecture and security teams to implement scalable cloud-native solutions.Monitor, troubleshoot, and optimise platform performance and availability using AWS-native tools and observability platforms.Contribute to platform reliability, automation and DevOps best practices within an Agile environment.Essential Skills and Experience - AWS Platform EngineerStrong commercial experience designing and supporting production platforms on Amazon Web Services (AWS).Hands-on experience with IaC tools, ideally Terraform (or CloudFormation).Expertise in CI/CD tooling, such as GitLab CI, Jenkins or AWS CodePipeline.Proficient in scripting or automation (e.g. Python, Bash or PowerShell).Knowledge of containerisation technologies (e.g. Docker, ECS, EKS) and microservices architecture.Familiarity with monitoring and logging tools (e.g. CloudWatch, ELK, Prometheus/Grafana).Solid understanding of security best practices and compliance within cloud environments.Desirable Skills - AWS Platform EngineerAWS certifications (e.g. AWS Certified DevOps Engineer, Solutions Architect)Previous experience working on large-scale enterprise platforms Exposure to serverless technologies (e.g. Lambda, API Gateway)Why Apply?Outside IR35 engagementOpportunity to shape cloud and platform engineering practices in a dynamic environmentWork alongside experienced professionals on a cutting-edge transformation programmeTo express your interest in the AWS Platform Engineer, please submit your CV today.

Job Title: Ecologist Location: Salisbury (Full time on-site) Contract Type: 3-Month Contract Pay Rate: Up to £527/day (Umbrella) IR35 Status: InsideOverview: Involved Solutions is currently recruiting for a specialist Ecologist to support a central Government agency. The Ecologist role focuses on ensuring legal, environmental and conservation obligations are met, particularly concerning the protection of a nationally significant Site of Special Scientific Interest (SSSI).The role of Ecologist offers a unique opportunity to influence conservation and environmental strategy within a government site, supporting both ecological preservation and operational trial activity.Ecologist - Key Responsibilities:Deliver and manage the Stone Curlew Conservation Project, ensuring compliance with all statutory requirements relating to protected species and habitats.Maintain and report on the favourable status of the SSSI, Special Protection Area (SPA), and Special Area of Conservation (SAC),Provide authoritative ecological advice to support operations and infrastructure development, balancing environmental stewardship with strategic objectives.Act as liaison with Defence Infrastructure Organisation (DIO), Natural England, and other regulatory bodies.Maintain and manage conservation datasets using tools such as Recorder 2006; produce and periodically review Business and Ecological Plans.Fulfil Site Manager responsibilities for the Environmental Change Network (ECN) project.Support risk assessment and sustainability appraisals through expert input and robust data analysis.Contribute to internal and external communications on ecological and conservation matters in line with protocols.Ecologist - Essential Skills & Experience:Degree (or equivalent) in Ecology or Environmental Science.Demonstrable knowledge of central government environmental procedures and compliance frameworks.Proven experience managing protected sites (SSSI, SAC, SPA) in line with UK environmental legislation.Comprehensive understanding of the Wildlife and Countryside Act 1981, Conservation of Habitats and Species Regulations 2017, and the Environment Act 2021.Practical knowledge of rural estate and conservation land management practices.Ability to build and maintain effective relationships with internal and external stakeholders, including regulators.Strong written and verbal communication skills; proactive and collaborative approach to project delivery.Ecologist - Desirable:City & Guilds or equivalent qualification in Agricultural, Forestry, or Land Management.Proficiency in Microsoft Office applications.How to Apply: To express interest in this role, please submit your CV.

We are hiring an AI Engineer to join a new team solving real-world problems with machine learning and LLMs within the Financial Services industry.You'll be working alongside product managers and engineers to design, build, and deploy models into production-impacting thousands of users and influencing product direction. The team values clean, scalable code and a pragmatic approach to experimentation.What you'll be doing:Developing and fine-tuning ML models (including deep learning and LLMs)Building and maintaining data pipelines for model training and evaluationCollaborating on model deployment, monitoring, and performance tuningWorking closely with stakeholders to identify opportunities for ML-driven features What we're looking for:Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow)Solid understanding of modern ML techniques, especially NLP and generative AIExperience working with cloud environments (AWS/GCP/Azure)Bonus: experience with vector databases, embeddings, and retrieval-augmented generation

A leading diversified conglomerate is building out a new enterprise architecture function and is looking for a visionary leader to head this capability. This is a greenfield opportunity to define and scale an EA practice from the ground up-starting with a small team of domain-specific Architects-with a clear focus on leveraging AI, data, and technology innovation to drive business transformation across a group of consumer-focused companies.About the role: This role will be central to shaping and executing the enterprise architecture strategy, with a specific mandate to harness artificial intelligence and emerging technologies to unlock new business value. You'll align IT systems and architecture with commercial goals, with a sharp focus on improving consumer experience, operational agility, and data-driven decision-making.Key responsibilities:Define and lead a modern EA strategy that embeds AI, data, and automation at its core.Build and mentor a team of domain architects, fostering a culture of innovation and continuous improvement.Establish and enforce architecture standards and governance frameworks (e.g., TOGAF, Zachman).Design scalable, future-ready technology solutions that support business objectives across the group.Identify and drive adoption of emerging technologies that enhance consumer engagement and operational efficiency.Translate business and consumer strategies into IT roadmaps and digital transformation initiatives.Modernise legacy systems and integrate digital platforms to support business agility.Collaborate with senior leadership to ensure EA delivers measurable commercial impact. About you:Proven experience in driving AI and data-led enterprise architecture initiatives.Strong grasp of cloud platforms (AWS, Azure, GCP), microservices, APIs, and modern data architectures.Deep understanding of how to apply technology innovation in direct-to-consumer businesses (e.g., Retail, FMCG, Manufacturing, Pharma).Familiarity with enterprise systems (ERP, CRM, HCM) and how to optimise them for customer-centric outcomes.Strategic thinker with the ability to influence at C-level and drive change across multiple business units.Skilled at balancing long-term architectural vision with immediate business needs and execution.Strong leadership, communication, and stakeholder management skills.

A fast-growing fintech company is seeking a Data Science Manager to lead a high-performing team of data scientists and analysts. This role is ideal for a hands-on leader with a passion for innovation, financial technology, and data-driven decision-making.About the role:Lead and mentor a team of data scientists, promoting a collaborative and high-performance culture.Design and implement advanced models for risk scoring, fraud detection, credit analytics, and customer segmentation.Partner with engineering, product, and compliance teams to integrate data science solutions into scalable fintech products.Own the full lifecycle of data projects from ideation to deployment and ongoing performance monitoring.Translate complex data insights into clear strategic recommendations for executive stakeholders.Ensure data governance, model explainability, and ethical AI practices are embedded in all initiatives. About You:Proven experience in data science, with at least 2 years in a leadership role.Strong background in statistics, machine learning, and predictive modeling.Proficiency in Python, SQL, and cloud-based data platforms (e.g., AWS, GCP, or Azure).Experience in a fintech or financial services environment is highly preferred.Excellent communication skills and the ability to influence both technical and non-technical stakeholders. What's on Offer:Competitive salary and equity optionsOpportunity to shape the future of financial technology through dataFlexible working arrangements and a strong culture of innovationExposure to complex, real-world data problems at scale

Cyber Security Engineer - SC Cleared - 6 monthsRate: £700 per dayIR35 - InsideLocation - 2 days per week on-site (London)The role:A Central Government Institution are seeking a Cyber Security Engineer, with experience of DevSecOps principles and tools, to undertake an initial 6 month contract.You will be joining Application Security Team who are focused on building security automation into delivery pipelines and conducting security focused tests against digital services.Skills & experience required bullet points Key Responsibilities Perform penetration testing and vulnerability assessments of web applications, APIs, and cloud infrastructure.Evaluate the automated security tooling into CI/CD pipelines (SAST, DAST, dependency checking, IaC etc), and make necessary recommendations.Collaborate with developers to remediate identified vulnerabilities and ensure secure code practices.Provide expert input on cloud security (AWS, Azure, or GCP) and DevSecOps tooling.Assist in maintaining security assurance across the SDLC in line with NCSC guidelines. Essential CriteriaDemonstrable experience with:Penetration testing, ethical hacking, or vulnerability assessments.Security testing tools (e.g., Burp Suite, OWASP ZAP, Nikto, Nmap, Metasploit, etc.).DevSecOps principles and tools (e.g., Veracode, SonarQube, GitHub Advanced Security, IaC scanning, etc.).Secure Cloud Infrastructure, specifically AWS and Azure.Scripting and automation using Python and Bash.Certifications: OSCP or CREST / TIGER Scheme.Strong communication skills and the ability to explain security issues to technical and non-technical stakeholders. DesirableExperience delivering assessments under the CHECK scheme (e.g., as a CHECK Team Member/Leader).Knowledge of UK public sector security and data protection standards (e.g., NCSC, Cyber Essentials Plus).Threat modelling and secure design practices.If you are availabale and interested, please aplly in the first instance and you will be contacted to discuss the position further.

A leading bank is hiring a Machine Learning Engineer to join its growing data and technology team. The successful candidate will be instrumental in developing and deploying machine learning solutions that enhance customer experience, streamline operations, and strengthen risk management.About the role:Develop, deploy, and maintain machine learning models across various banking use cases, including fraud detection, credit scoring, and customer insights.Collaborate with cross-functional teams to understand business challenges and translate them into scalable ML solutions.Implement data pipelines and model monitoring systems to ensure performance and compliance.Work with large, complex datasets and apply best practices in data governance and security.Stay current with developments in AI/ML and proactively suggest new approaches and technologies. About you:Proven experience (5+ years) in a machine learning or applied data science role.Strong programming skills in Python, with experience using ML frameworks such as scikit-learn, TensorFlow, or PyTorch.Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.Strong grasp of software engineering principles and version control.Previous experience in financial services or regulated industries is highly advantageous.

We're partnered with an established tech company at the forefront of AI innovation, and they're looking to hire a Security Engineer with a strong focus on AI/ML systems. This is an opportunity to join a high-impact team working on the next generation of machine learning platforms-where security, trust, and resilience are core to the mission.About the role: You'll play a critical role in securing the company's AI/ML infrastructure, helping to build out end-to-end safeguards across data pipelines, model training environments, and deployment systems. This is a hands-on engineering role for someone who understands both traditional security practices and the unique challenges posed by modern AI/ML stacks.Key responsibilities include:Designing and implementing security controls tailored to AI/ML workflowsIdentifying and mitigating ML-specific risks (e.g., model theft, adversarial inputs, data poisoning)Working closely with engineering and data science teams to embed security into model lifecyclesDeveloping tooling and automation for secure deployment and continuous monitoringStaying current on the evolving threat landscape in AI and contributing to internal knowledge sharing About you:5+ years of experience in security engineering, ideally with exposure to ML systemsStrong knowledge of threat modeling, secure coding, and cloud infrastructure security (AWS/GCP/Azure)Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data platforms (e.g., Spark, Airflow)Proficiency in scripting or software development (Python preferred)Bonus: Experience in areas like LLM security, model interpretability, or data governance

We're looking for a BI Engineer who lives and breathes Power BI-and knows the surrounding Azure stack inside out. You'll play a key role in building scalable, insightful data solutions that drive real business decisions. This isn't just about dashboards. It's about understanding the why behind the data and delivering meaningful outcomes. What we're looking for:Deep expertise in Power BI - from data modeling and DAX to custom visuals and Power BI Service.Hands-on experience across the Azure data ecosystem - including Azure Data Factory, Azure Synapse, Azure SQL, and Azure Data Lake.Strong SQL skills and an understanding of ETL processes.Ability to partner with stakeholders to translate business questions into data-driven insights.Comfortable working independently in a fast-paced, product-led environment.

Job Title: AWS Platform Engineer (Contract) Location: Remote / UK-based (occasional travel may be required) Contract Length: 6 months + Ext Day Rate: £500-£600 per day (Outside IR35) Start Date: ASAPOverviewA leading organisation are undergoing a large-scale digital transformation and are seeking a highly skilled AWS Platform Engineer to join their DevOps & Cloud Infrastructure team on a contract basis. This is a strategic appointment aimed at driving forward the organisation's cloud platform capability, ensuring robust, scalable and secure services that support critical business operations.Key Responsibilities - AWS Platform EngineerDesign, build, and maintain infrastructure as code (IaC) using tools such as Terraform or CloudFormation.Develop and enhance CI/CD pipelines for high-availability cloud-based solutions.Manage cloud resources within AWS, ensuring optimal performance, cost-efficiency and compliance.Collaborate with software engineering, architecture and security teams to implement scalable cloud-native solutions.Monitor, troubleshoot, and optimise platform performance and availability using AWS-native tools and observability platforms.Contribute to platform reliability, automation and DevOps best practices within an Agile environment.Essential Skills and Experience - AWS Platform EngineerStrong commercial experience designing and supporting production platforms on Amazon Web Services (AWS).Hands-on experience with IaC tools, ideally Terraform (or CloudFormation).Expertise in CI/CD tooling, such as GitLab CI, Jenkins or AWS CodePipeline.Proficient in scripting or automation (e.g. Python, Bash or PowerShell).Knowledge of containerisation technologies (e.g. Docker, ECS, EKS) and microservices architecture.Familiarity with monitoring and logging tools (e.g. CloudWatch, ELK, Prometheus/Grafana).Solid understanding of security best practices and compliance within cloud environments.Desirable Skills - AWS Platform EngineerAWS certifications (e.g. AWS Certified DevOps Engineer, Solutions Architect)Previous experience working on large-scale enterprise platforms Exposure to serverless technologies (e.g. Lambda, API Gateway)Why Apply?Outside IR35 engagementOpportunity to shape cloud and platform engineering practices in a dynamic environmentWork alongside experienced professionals on a cutting-edge transformation programmeTo express your interest in the AWS Platform Engineer, please submit your CV today.

Job Title: Ecologist Location: Salisbury (Full time on-site) Contract Type: 3-Month Contract Pay Rate: Up to £527/day (Umbrella) IR35 Status: InsideOverview: Involved Solutions is currently recruiting for a specialist Ecologist to support a central Government agency. The Ecologist role focuses on ensuring legal, environmental and conservation obligations are met, particularly concerning the protection of a nationally significant Site of Special Scientific Interest (SSSI).The role of Ecologist offers a unique opportunity to influence conservation and environmental strategy within a government site, supporting both ecological preservation and operational trial activity.Ecologist - Key Responsibilities:Deliver and manage the Stone Curlew Conservation Project, ensuring compliance with all statutory requirements relating to protected species and habitats.Maintain and report on the favourable status of the SSSI, Special Protection Area (SPA), and Special Area of Conservation (SAC),Provide authoritative ecological advice to support operations and infrastructure development, balancing environmental stewardship with strategic objectives.Act as liaison with Defence Infrastructure Organisation (DIO), Natural England, and other regulatory bodies.Maintain and manage conservation datasets using tools such as Recorder 2006; produce and periodically review Business and Ecological Plans.Fulfil Site Manager responsibilities for the Environmental Change Network (ECN) project.Support risk assessment and sustainability appraisals through expert input and robust data analysis.Contribute to internal and external communications on ecological and conservation matters in line with protocols.Ecologist - Essential Skills & Experience:Degree (or equivalent) in Ecology or Environmental Science.Demonstrable knowledge of central government environmental procedures and compliance frameworks.Proven experience managing protected sites (SSSI, SAC, SPA) in line with UK environmental legislation.Comprehensive understanding of the Wildlife and Countryside Act 1981, Conservation of Habitats and Species Regulations 2017, and the Environment Act 2021.Practical knowledge of rural estate and conservation land management practices.Ability to build and maintain effective relationships with internal and external stakeholders, including regulators.Strong written and verbal communication skills; proactive and collaborative approach to project delivery.Ecologist - Desirable:City & Guilds or equivalent qualification in Agricultural, Forestry, or Land Management.Proficiency in Microsoft Office applications.How to Apply: To express interest in this role, please submit your CV.

We are hiring an AI Engineer to join a new team solving real-world problems with machine learning and LLMs within the Financial Services industry.You'll be working alongside product managers and engineers to design, build, and deploy models into production-impacting thousands of users and influencing product direction. The team values clean, scalable code and a pragmatic approach to experimentation.What you'll be doing:Developing and fine-tuning ML models (including deep learning and LLMs)Building and maintaining data pipelines for model training and evaluationCollaborating on model deployment, monitoring, and performance tuningWorking closely with stakeholders to identify opportunities for ML-driven features What we're looking for:Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow)Solid understanding of modern ML techniques, especially NLP and generative AIExperience working with cloud environments (AWS/GCP/Azure)Bonus: experience with vector databases, embeddings, and retrieval-augmented generation