Staff Data Scientist 120K - 140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details. Staff Data Scientist
Jun 11, 2026
Full time
Staff Data Scientist 120K - 140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details. Staff Data Scientist
We are looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast, ethical, and cost-efficient. You will bridge the gap between Data Science prototypes and enterprise-scale deployment. Key Responsibilities AI Model design and build: Work closely with data scientists and business to design and implement AI algorithms, frameworks and architectures. AI model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources. AI model Feature Engineering: Integrate structured and unstructured data from internal and external systems into centralized data platforms. Performance Tuning of AI/ models: Optimize data workflows and queries for performance, scalability, and cost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented Generation pipelines to enhance the knowledge and accuracy of LLMs. Utilizing vector databases for efficient storage and retrieval of embeddings generated by LLMs. rafting effective prompts to elicit desired responses from LLMs. Connecting LLMs and generative models with other systems and APIs to create comprehensive solutions. Communicate findings: Collaborate extensively with data scientists, and business during model development and deployment. Maintain updated documentation with details of all aspects of model development lifecycle. Responsible AI: Build AI systems which are trustworthy and beneficial considering ethical principles such as fairness, transparency, accountability, privacy and reliability. Implement quantifiable metrics detecting bias, explainability and adherence to regulatory compliance. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Jun 11, 2026
Contractor
We are looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast, ethical, and cost-efficient. You will bridge the gap between Data Science prototypes and enterprise-scale deployment. Key Responsibilities AI Model design and build: Work closely with data scientists and business to design and implement AI algorithms, frameworks and architectures. AI model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources. AI model Feature Engineering: Integrate structured and unstructured data from internal and external systems into centralized data platforms. Performance Tuning of AI/ models: Optimize data workflows and queries for performance, scalability, and cost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented Generation pipelines to enhance the knowledge and accuracy of LLMs. Utilizing vector databases for efficient storage and retrieval of embeddings generated by LLMs. rafting effective prompts to elicit desired responses from LLMs. Connecting LLMs and generative models with other systems and APIs to create comprehensive solutions. Communicate findings: Collaborate extensively with data scientists, and business during model development and deployment. Maintain updated documentation with details of all aspects of model development lifecycle. Responsible AI: Build AI systems which are trustworthy and beneficial considering ethical principles such as fairness, transparency, accountability, privacy and reliability. Implement quantifiable metrics detecting bias, explainability and adherence to regulatory compliance. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Talent STEM are partnering with an innovative scientific organisation operating within the analytical testing and laboratory services sector to recruit a Laboratory Technician Analytical Chemistry for their laboratory team on an initial 6 month contract. This is an excellent opportunity for a recent graduate looking to begin their career within a laboratory environment. The organisation provides specialist analytical services to a diverse range of industries and offers structured training, professional development and long-term career progression opportunities. The role would suit somebody who has recently completed a degree in Chemistry, Forensic Science or a related scientific discipline and is looking to gain valuable hands-on laboratory experience within a commercial setting. Key responsibilities - Preparing samples for chemical analysis - Supporting laboratory testing activities in accordance with established procedures - Operating and maintaining laboratory instrumentation and equipment - Recording, reviewing and reporting analytical data accurately - Assisting with method development and laboratory investigations where required - Ensuring compliance with laboratory quality standards and procedures - Supporting routine laboratory housekeeping and stock control activities - Following health and safety procedures and maintaining a safe working environment - Working closely with senior scientists and laboratory personnel to support project delivery Candidate profile We are interested in speaking with candidates who have: - A degree in Chemistry, Forensic Science or a related scientific discipline - Full right to work in the UK without current or future sponsorship requirements - A genuine interest in analytical chemistry and laboratory-based work - Strong attention to detail and organisational skills - Good written and verbal communication skills - The ability to work effectively both independently and as part of a team - A proactive approach and willingness to learn new techniques and processes - Previous laboratory experience gained through university projects, placements or industrial experience would be advantageous but is not essential Graduates from Chemistry, Forensic Science, Pharmaceutical Science, Analytical Science, Biochemistry and related disciplines are encouraged to apply. This is an excellent opportunity to join a growing scientific organisation offering comprehensive training, exposure to advanced laboratory techniques and genuine opportunities for long-term career development. Please note that applicants must have the unrestricted right to work in the UK. Sponsorship is not available for this position. For further information or a confidential discussion, please contact Talent STEM. Talent STEM is a specialist recruitment consultancy supporting the scientific, engineering, clinical, chemical, pharmaceutical, FMCG, environmental, waste, biotechnology and medical device sectors.
Jun 11, 2026
Seasonal
Talent STEM are partnering with an innovative scientific organisation operating within the analytical testing and laboratory services sector to recruit a Laboratory Technician Analytical Chemistry for their laboratory team on an initial 6 month contract. This is an excellent opportunity for a recent graduate looking to begin their career within a laboratory environment. The organisation provides specialist analytical services to a diverse range of industries and offers structured training, professional development and long-term career progression opportunities. The role would suit somebody who has recently completed a degree in Chemistry, Forensic Science or a related scientific discipline and is looking to gain valuable hands-on laboratory experience within a commercial setting. Key responsibilities - Preparing samples for chemical analysis - Supporting laboratory testing activities in accordance with established procedures - Operating and maintaining laboratory instrumentation and equipment - Recording, reviewing and reporting analytical data accurately - Assisting with method development and laboratory investigations where required - Ensuring compliance with laboratory quality standards and procedures - Supporting routine laboratory housekeeping and stock control activities - Following health and safety procedures and maintaining a safe working environment - Working closely with senior scientists and laboratory personnel to support project delivery Candidate profile We are interested in speaking with candidates who have: - A degree in Chemistry, Forensic Science or a related scientific discipline - Full right to work in the UK without current or future sponsorship requirements - A genuine interest in analytical chemistry and laboratory-based work - Strong attention to detail and organisational skills - Good written and verbal communication skills - The ability to work effectively both independently and as part of a team - A proactive approach and willingness to learn new techniques and processes - Previous laboratory experience gained through university projects, placements or industrial experience would be advantageous but is not essential Graduates from Chemistry, Forensic Science, Pharmaceutical Science, Analytical Science, Biochemistry and related disciplines are encouraged to apply. This is an excellent opportunity to join a growing scientific organisation offering comprehensive training, exposure to advanced laboratory techniques and genuine opportunities for long-term career development. Please note that applicants must have the unrestricted right to work in the UK. Sponsorship is not available for this position. For further information or a confidential discussion, please contact Talent STEM. Talent STEM is a specialist recruitment consultancy supporting the scientific, engineering, clinical, chemical, pharmaceutical, FMCG, environmental, waste, biotechnology and medical device sectors.
Senior Data Analyst - 515/day (Inside IR35) - Remote UK Nationality and Palantir (FDP) are essential to apply for this role I'm currently looking for a Senior Data Analyst / Data Scientist to join a high-impact public sector organisation, working on a major digital screening programme. This is a great opportunity to play a key role in shaping how data is presented, interpreted, and used to inform decisions through high-quality dashboards and reporting products. What you'll be doing You'll be embedded within a collaborative Agile team, working closely with Data Engineers, Data Scientists and UCD professionals to deliver meaningful data products. On a day-to-day basis, you will: Design and develop data dashboards and visualisations Translate user needs into clear metrics, insights and data stories Work closely with stakeholders to understand requirements and refine outputs Validate dashboards and reporting outputs directly with users Support iterative product development in an Agile environment Contribute to a strong engineering culture, including CI/CD, TDD and DevSecOps practices Pair programme and collaborate across multidisciplinary teams What I need from you (essential) To be considered, your CV must clearly show experience with the following: Python and/or BI tools (Power BI, Tableau, Looker Studio) Palantir (FDP) Design and delivery of dashboards / data visualisations Translating user needs into insights and data stories User validation and iterative product delivery Agile delivery environments If these skills aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they are easy to find before applying. Nice to have (not essential) Experience within a wider public sector data environment Exposure to screening or clinical datasets What this role IS A hands-on data visualisation and insight-driven role A chance to influence real digital services used at scale A collaborative, Agile environment with strong technical teams A role where you'll work closely with users and stakeholders What this role ISN'T Not a purely engineering or backend-heavy data role Not a basic reporting role with no user interaction Not suitable if you lack experience in dashboard delivery or Palantir Not a role where you'll work in isolation with no stakeholder engagement Key Details 515 per day (Inside IR35) Start ASAP Contract running until November 2026 (extensions likely) Remote with occasional travel to London Must be a UK National with 5+ years continuous UK residency Next Steps If this aligns with your experience, send me your CV and make sure it clearly highlights the key skills in bold above - this will help fast-track your application. If your experience matches, I'll be in touch quickly to talk through the next steps. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Jun 11, 2026
Contractor
Senior Data Analyst - 515/day (Inside IR35) - Remote UK Nationality and Palantir (FDP) are essential to apply for this role I'm currently looking for a Senior Data Analyst / Data Scientist to join a high-impact public sector organisation, working on a major digital screening programme. This is a great opportunity to play a key role in shaping how data is presented, interpreted, and used to inform decisions through high-quality dashboards and reporting products. What you'll be doing You'll be embedded within a collaborative Agile team, working closely with Data Engineers, Data Scientists and UCD professionals to deliver meaningful data products. On a day-to-day basis, you will: Design and develop data dashboards and visualisations Translate user needs into clear metrics, insights and data stories Work closely with stakeholders to understand requirements and refine outputs Validate dashboards and reporting outputs directly with users Support iterative product development in an Agile environment Contribute to a strong engineering culture, including CI/CD, TDD and DevSecOps practices Pair programme and collaborate across multidisciplinary teams What I need from you (essential) To be considered, your CV must clearly show experience with the following: Python and/or BI tools (Power BI, Tableau, Looker Studio) Palantir (FDP) Design and delivery of dashboards / data visualisations Translating user needs into insights and data stories User validation and iterative product delivery Agile delivery environments If these skills aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they are easy to find before applying. Nice to have (not essential) Experience within a wider public sector data environment Exposure to screening or clinical datasets What this role IS A hands-on data visualisation and insight-driven role A chance to influence real digital services used at scale A collaborative, Agile environment with strong technical teams A role where you'll work closely with users and stakeholders What this role ISN'T Not a purely engineering or backend-heavy data role Not a basic reporting role with no user interaction Not suitable if you lack experience in dashboard delivery or Palantir Not a role where you'll work in isolation with no stakeholder engagement Key Details 515 per day (Inside IR35) Start ASAP Contract running until November 2026 (extensions likely) Remote with occasional travel to London Must be a UK National with 5+ years continuous UK residency Next Steps If this aligns with your experience, send me your CV and make sure it clearly highlights the key skills in bold above - this will help fast-track your application. If your experience matches, I'll be in touch quickly to talk through the next steps. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.
Jun 11, 2026
Full time
We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.
Senior Research Consultant London - hybrid working 4x in office Up to £60,000 This is a chance to join a fast-growing research and technology startup at a pivotal stage of its journey. You will work on high impact social and political research while gaining hands on exposure to cutting edge AI driven research tools. The role offers real ownership, variety, and the opportunity to influence both client outcomes and how research is delivered. The Company They are a Series A to B stage B2B research and technology business. The organisation combines experienced researchers with engineers and data scientists to deliver faster and deeper insight than traditional agencies. Their work is purpose-led, supporting mission-driven organisations, foundations, and policy-focused clients. Alongside core consulting, they are launching a new AI-powered qualitative research product. The Role Own the end to end delivery of bespoke quantitative and mixed methods research projects Act as a day to day client contact, managing relationships and ensuring high quality delivery Design questionnaires, manage sampling and weighting, and lead analysis Produce clear and compelling outputs including decks, written reports, tables, and visualisations Translate research findings into strategic recommendations for campaigns and policy decisions Collaborate closely with analytics specialists on advanced techniques such as segmentation and regression Contribute to qualitative research, including analysis of interviews and AI moderated outputs Engage with and help evolve AI driven research workflows and tools Your Skills and Experience Strong commercial experience delivering quantitative or mixed methods research Exposure to social, political, or opinion research in a professional setting Confidence owning projects from design through to delivery, with appropriate support Experience working directly with clients and managing multiple workstreams Ability to interpret data, tell a clear story, and communicate insight effectively Interest in AI tools, advanced analytics, or new research technologies Comfortable working in a fast moving, bespoke, insight led environment rather than long term trackers What They Offer Rapid progression opportunities, with this role viewed as a pathway to Research Manager High autonomy, low hierarchy, and exposure to senior stakeholders The chance to work on meaningful projects with global impact How to Apply If you are excited by insight-led research, emerging technology, and taking real ownership of projects, apply now to find out more.
Jun 11, 2026
Full time
Senior Research Consultant London - hybrid working 4x in office Up to £60,000 This is a chance to join a fast-growing research and technology startup at a pivotal stage of its journey. You will work on high impact social and political research while gaining hands on exposure to cutting edge AI driven research tools. The role offers real ownership, variety, and the opportunity to influence both client outcomes and how research is delivered. The Company They are a Series A to B stage B2B research and technology business. The organisation combines experienced researchers with engineers and data scientists to deliver faster and deeper insight than traditional agencies. Their work is purpose-led, supporting mission-driven organisations, foundations, and policy-focused clients. Alongside core consulting, they are launching a new AI-powered qualitative research product. The Role Own the end to end delivery of bespoke quantitative and mixed methods research projects Act as a day to day client contact, managing relationships and ensuring high quality delivery Design questionnaires, manage sampling and weighting, and lead analysis Produce clear and compelling outputs including decks, written reports, tables, and visualisations Translate research findings into strategic recommendations for campaigns and policy decisions Collaborate closely with analytics specialists on advanced techniques such as segmentation and regression Contribute to qualitative research, including analysis of interviews and AI moderated outputs Engage with and help evolve AI driven research workflows and tools Your Skills and Experience Strong commercial experience delivering quantitative or mixed methods research Exposure to social, political, or opinion research in a professional setting Confidence owning projects from design through to delivery, with appropriate support Experience working directly with clients and managing multiple workstreams Ability to interpret data, tell a clear story, and communicate insight effectively Interest in AI tools, advanced analytics, or new research technologies Comfortable working in a fast moving, bespoke, insight led environment rather than long term trackers What They Offer Rapid progression opportunities, with this role viewed as a pathway to Research Manager High autonomy, low hierarchy, and exposure to senior stakeholders The chance to work on meaningful projects with global impact How to Apply If you are excited by insight-led research, emerging technology, and taking real ownership of projects, apply now to find out more.
Data Scientist (Palantir/FDP essential) - £560/day (Inside IR35) - RemoteYou will require Palantir (FDP) experience as well and UK Citizenship to apply I'm currently looking for an experienced Data Scientist with strong Data Engineering capability to join a high-profile public sector organisation working on a major digital screening programme. This is a genuinely impactful piece of work where you'll be shaping how data is used to drive decisions through modern dashboards and reporting products. What you'll be doing You'll be working as part of an Agile, multidisciplinary team, taking ownership of data exploration and engineering to support new digital services. On a day-to-day basis, you will: *Lead exploratory data analysis to understand datasets and inform product decisions *Define dashboard requirements and determine what good looks like from a reporting perspective *Design and build data pipelines and datasets for dashboards *Identify and mitigate data quality risks *Develop reusable code in Python and PySpark for data prep and analysis *Collaborate closely with Data Engineers, Analysts and UCD professionals *Work within modern engineering practices including CI/CD, TDD and DevSecOps *Pair programme and contribute to a strong engineering culture What I need from you (essential) To be considered, your CV must clearly show experience with the following: *Palantir (FDP) *Python *PySpark *Exploratory Data Analysis *Data pipeline design/data engineering concepts *Dashboard/reporting dataset development *BI tools (Redshift, Databricks or similar) *Agile delivery environments If these technologies aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they are easy to find before applying. Nice to have (not essential) *Experience within a wider public sector data environment *Exposure to screening or clinical datasets What this role IS *A hands-on data role blending Data Science and Engineering *A chance to influence real-world digital services *A collaborative Agile environment working with strong technical teams *A role where you'll own problems and drive solutions What this role ISN'T *Not a purely academic Data Science position *Not a reporting-only/BA-style role *Not a role where you'll just "pick up tickets" with no ownership *Not suitable if your experience is light on Python, PySpark or Palantir Key Details £560 per day (Inside IR35) Start ASAP Running until November 2026 (extensions very likely) Remote with occasional travel to London Must be a UK National with 5+ years continuous UK residency Next Steps If this aligns with your experience, send me your CV and make sure it clearly highlights the key skills in bold above - that will help fast-track your application. If it looks like a strong match, I'll be in touch quickly to discuss next steps. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Jun 11, 2026
Contractor
Data Scientist (Palantir/FDP essential) - £560/day (Inside IR35) - RemoteYou will require Palantir (FDP) experience as well and UK Citizenship to apply I'm currently looking for an experienced Data Scientist with strong Data Engineering capability to join a high-profile public sector organisation working on a major digital screening programme. This is a genuinely impactful piece of work where you'll be shaping how data is used to drive decisions through modern dashboards and reporting products. What you'll be doing You'll be working as part of an Agile, multidisciplinary team, taking ownership of data exploration and engineering to support new digital services. On a day-to-day basis, you will: *Lead exploratory data analysis to understand datasets and inform product decisions *Define dashboard requirements and determine what good looks like from a reporting perspective *Design and build data pipelines and datasets for dashboards *Identify and mitigate data quality risks *Develop reusable code in Python and PySpark for data prep and analysis *Collaborate closely with Data Engineers, Analysts and UCD professionals *Work within modern engineering practices including CI/CD, TDD and DevSecOps *Pair programme and contribute to a strong engineering culture What I need from you (essential) To be considered, your CV must clearly show experience with the following: *Palantir (FDP) *Python *PySpark *Exploratory Data Analysis *Data pipeline design/data engineering concepts *Dashboard/reporting dataset development *BI tools (Redshift, Databricks or similar) *Agile delivery environments If these technologies aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they are easy to find before applying. Nice to have (not essential) *Experience within a wider public sector data environment *Exposure to screening or clinical datasets What this role IS *A hands-on data role blending Data Science and Engineering *A chance to influence real-world digital services *A collaborative Agile environment working with strong technical teams *A role where you'll own problems and drive solutions What this role ISN'T *Not a purely academic Data Science position *Not a reporting-only/BA-style role *Not a role where you'll just "pick up tickets" with no ownership *Not suitable if your experience is light on Python, PySpark or Palantir Key Details £560 per day (Inside IR35) Start ASAP Running until November 2026 (extensions very likely) Remote with occasional travel to London Must be a UK National with 5+ years continuous UK residency Next Steps If this aligns with your experience, send me your CV and make sure it clearly highlights the key skills in bold above - that will help fast-track your application. If it looks like a strong match, I'll be in touch quickly to discuss next steps. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Senior Data Scientist (Growth / GTM / Analytics) - Global Software Business - London Rate: £407 per day (Inside of IR35) Duration: 12 months Overview We are looking for a commercially minded Senior Data Scientist to drive data-led growth across a global, subscription-based business. This role focuses on identifying untapped market opportunities, improving customer targeting, and enabling data-driven go-to-market strategies. You'll work at the intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth. Key Responsibilities Market Opportunity & Revenue Modelling Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments Analyse customer and market data to uncover untapped revenue potential Deliver insights to support strategic planning and growth initiatives Customer & Growth Analytics Build and deploy propensity models to improve acquisition, upsell, and retention Develop customer segmentation frameworks to enhance targeting and campaign effectiveness Partner with commercial teams to optimise go-to-market strategies and sales performance Data Science & Modelling Design, develop, and iterate on predictive models that drive measurable business impact Apply statistical and machine learning techniques to large, complex datasets Ensure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement Work closely with Data Engineering teams to productionise models and analytics workflows Leverage internal and external datasets to build rich customer intelligence Contribute to best practices in data quality, governance, and model monitoring Stakeholder Engagement Translate complex analyses into clear, actionable insights for senior stakeholders Present recommendations to influence commercial strategy, pricing, and product decisions Act as a trusted partner across technical and business teams Skills & Experience Strong experience in data science or advanced analytics roles (typically 5+ years) Advanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery) Proficiency in Python for data analysis, modelling, and experimentation Experience building predictive models (e.g. propensity modelling, segmentation, forecasting) Demonstrated ability to deliver data-driven solutions that impact revenue or growth Strong communication skills with the ability to influence non-technical stakeholders Experience working cross-functionally with Sales, Marketing, Product, or Strategy teams Nice to Have Experience in SaaS, subscription-based, or platform businesses Exposure to pricing strategy, go-to-market planning, or commercial analytics Familiarity with market sizing methodologies Experience integrating third-party datasets What We're Looking For A commercially focused data scientist who prioritises business impact Someone comfortable working in ambiguous, fast-paced environments A strong communicator who can bridge data, technology, and business strategy Why Join High-impact role with direct influence on revenue growth and strategic decisions Opportunity to work on complex, global data challenges Collaborative environment across data, product, and commercial teams Please do send across an up to date CV to Rates depend on experience and client requirements
Jun 11, 2026
Contractor
Senior Data Scientist (Growth / GTM / Analytics) - Global Software Business - London Rate: £407 per day (Inside of IR35) Duration: 12 months Overview We are looking for a commercially minded Senior Data Scientist to drive data-led growth across a global, subscription-based business. This role focuses on identifying untapped market opportunities, improving customer targeting, and enabling data-driven go-to-market strategies. You'll work at the intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth. Key Responsibilities Market Opportunity & Revenue Modelling Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments Analyse customer and market data to uncover untapped revenue potential Deliver insights to support strategic planning and growth initiatives Customer & Growth Analytics Build and deploy propensity models to improve acquisition, upsell, and retention Develop customer segmentation frameworks to enhance targeting and campaign effectiveness Partner with commercial teams to optimise go-to-market strategies and sales performance Data Science & Modelling Design, develop, and iterate on predictive models that drive measurable business impact Apply statistical and machine learning techniques to large, complex datasets Ensure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement Work closely with Data Engineering teams to productionise models and analytics workflows Leverage internal and external datasets to build rich customer intelligence Contribute to best practices in data quality, governance, and model monitoring Stakeholder Engagement Translate complex analyses into clear, actionable insights for senior stakeholders Present recommendations to influence commercial strategy, pricing, and product decisions Act as a trusted partner across technical and business teams Skills & Experience Strong experience in data science or advanced analytics roles (typically 5+ years) Advanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery) Proficiency in Python for data analysis, modelling, and experimentation Experience building predictive models (e.g. propensity modelling, segmentation, forecasting) Demonstrated ability to deliver data-driven solutions that impact revenue or growth Strong communication skills with the ability to influence non-technical stakeholders Experience working cross-functionally with Sales, Marketing, Product, or Strategy teams Nice to Have Experience in SaaS, subscription-based, or platform businesses Exposure to pricing strategy, go-to-market planning, or commercial analytics Familiarity with market sizing methodologies Experience integrating third-party datasets What We're Looking For A commercially focused data scientist who prioritises business impact Someone comfortable working in ambiguous, fast-paced environments A strong communicator who can bridge data, technology, and business strategy Why Join High-impact role with direct influence on revenue growth and strategic decisions Opportunity to work on complex, global data challenges Collaborative environment across data, product, and commercial teams Please do send across an up to date CV to Rates depend on experience and client requirements
Opus Recruitment Solutions Ltd
Nottingham, Nottinghamshire
Data Scientist Outside IR35 6 Months £400 - £450 You'll be joining a multidisciplinary team made up of data scientists, ML engineers, software developers, and subject-matter experts, working together to solve complex problems using advanced analytics. The focus is on applying machine learning techniques to large-scale, real-world datasets - including high-frequency vibration signals, SCADA data , and historical turbine failure records. This is a very hands-on role, centred around building, testing, and implementing models that deliver meaningful, practical insights for wind farm operators. What you'll be doing: Designing and refining machine learning models to identify, diagnose, and predict faults in wind turbines Using a combination of signal processing, ML, and reliability-focused approaches on operational data Developing probabilistic models to assess component health and predict remaining useful life Turning complex outputs into clear, usable insights for engineering and operational teams Working closely with data and engineering teams to help move models into live environments Supporting validation, testing, and responsible use of AI solutions What we're looking for: Around 3+ years' experience in a data science or similar role Strong Python skills, particularly with libraries like NumPy, pandas, and SciPy Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch A track record of working with messy, real-world datasets (ideally in industrial settings) Comfortable operating in fast-paced environments with some ambiguity Able to communicate technical findings clearly to non-technical audiences Experience in areas like wind energy, rotating equipment, predictive maintenance, or reliability engineering would be a big advantage - but it's not essential.If this is a role that suits your skill set and available immediately then please apply for the job advert directly or reach out to me with your CV to . Data Scientist Outside IR35 6 Months £400 - £450
Jun 11, 2026
Contractor
Data Scientist Outside IR35 6 Months £400 - £450 You'll be joining a multidisciplinary team made up of data scientists, ML engineers, software developers, and subject-matter experts, working together to solve complex problems using advanced analytics. The focus is on applying machine learning techniques to large-scale, real-world datasets - including high-frequency vibration signals, SCADA data , and historical turbine failure records. This is a very hands-on role, centred around building, testing, and implementing models that deliver meaningful, practical insights for wind farm operators. What you'll be doing: Designing and refining machine learning models to identify, diagnose, and predict faults in wind turbines Using a combination of signal processing, ML, and reliability-focused approaches on operational data Developing probabilistic models to assess component health and predict remaining useful life Turning complex outputs into clear, usable insights for engineering and operational teams Working closely with data and engineering teams to help move models into live environments Supporting validation, testing, and responsible use of AI solutions What we're looking for: Around 3+ years' experience in a data science or similar role Strong Python skills, particularly with libraries like NumPy, pandas, and SciPy Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch A track record of working with messy, real-world datasets (ideally in industrial settings) Comfortable operating in fast-paced environments with some ambiguity Able to communicate technical findings clearly to non-technical audiences Experience in areas like wind energy, rotating equipment, predictive maintenance, or reliability engineering would be a big advantage - but it's not essential.If this is a role that suits your skill set and available immediately then please apply for the job advert directly or reach out to me with your CV to . Data Scientist Outside IR35 6 Months £400 - £450
Applied Data Scientist - Commercial Analytics & Market Intelligence Initial 6 month contract London or Reading - hybrid working £350pd-£435pd inside IR35 We're partnering with a global organisation seeking a Data Science Engineer to play a key role in shaping data-driven commercial strategy across their Education business. This is a highly impactful opportunity focused on building sophisticated market intelligence and predictive analytics models that directly influence go-to-market strategy, customer growth and long-term revenue planning. The role sits within a cross-functional environment working closely with Product Marketing, Sales Strategy, Data Engineering and senior business stakeholders to identify untapped market opportunities and optimise commercial performance through advanced analytics and scalable data solutions. What you'll be doing: Design and deliver sophisticated rSAM (Remaining Sales Addressable Market) models to quantify untapped revenue opportunities across global education markets. Partner with commercial and product stakeholders to understand complex education-sector dynamics, including subscription models, institutional procurement structures and consortium purchasing behaviours. Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs. Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies. Deliver strategic insights and market opportunity analysis to senior leadership, supporting commercial planning and data-driven decision making. Translate complex analytical findings into clear, actionable business recommendations for both technical and non-technical audiences. What they're looking for: Experience within Data Science, Analytics Engineering or Commercial Data environments. Advanced SQL expertise, ideally working with large-scale datasets within Databricks or similar modern data platforms. Strong Python skills for data manipulation, statistical analysis and predictive modelling. Proven experience developing and optimising predictive analytics or revenue-driving data science models. Experience with propensity modelling or customer growth modelling would be highly beneficial. Strong stakeholder engagement skills with the ability to communicate complex insights clearly to senior business audiences. Comfortable operating within fast-paced, evolving environments with multiple cross-functional stakeholders. This role would suit someone who enjoys combining deep technical data expertise with commercially focused problem solving and strategic business impact.
Jun 11, 2026
Contractor
Applied Data Scientist - Commercial Analytics & Market Intelligence Initial 6 month contract London or Reading - hybrid working £350pd-£435pd inside IR35 We're partnering with a global organisation seeking a Data Science Engineer to play a key role in shaping data-driven commercial strategy across their Education business. This is a highly impactful opportunity focused on building sophisticated market intelligence and predictive analytics models that directly influence go-to-market strategy, customer growth and long-term revenue planning. The role sits within a cross-functional environment working closely with Product Marketing, Sales Strategy, Data Engineering and senior business stakeholders to identify untapped market opportunities and optimise commercial performance through advanced analytics and scalable data solutions. What you'll be doing: Design and deliver sophisticated rSAM (Remaining Sales Addressable Market) models to quantify untapped revenue opportunities across global education markets. Partner with commercial and product stakeholders to understand complex education-sector dynamics, including subscription models, institutional procurement structures and consortium purchasing behaviours. Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs. Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies. Deliver strategic insights and market opportunity analysis to senior leadership, supporting commercial planning and data-driven decision making. Translate complex analytical findings into clear, actionable business recommendations for both technical and non-technical audiences. What they're looking for: Experience within Data Science, Analytics Engineering or Commercial Data environments. Advanced SQL expertise, ideally working with large-scale datasets within Databricks or similar modern data platforms. Strong Python skills for data manipulation, statistical analysis and predictive modelling. Proven experience developing and optimising predictive analytics or revenue-driving data science models. Experience with propensity modelling or customer growth modelling would be highly beneficial. Strong stakeholder engagement skills with the ability to communicate complex insights clearly to senior business audiences. Comfortable operating within fast-paced, evolving environments with multiple cross-functional stakeholders. This role would suit someone who enjoys combining deep technical data expertise with commercially focused problem solving and strategic business impact.
TyneStack Partners Ltd
Newcastle Upon Tyne, Tyne And Wear
Data Scientist (Python / SQL / AI & Machine Learning) Location: Newcastle Upon Tyne Hybrid Salary: Competitive + Excellent Benefits Type: Full-time, Permanent Overview A leading financial technology and investment business is looking to appoint a Data Scientist to join its growing data and analytics function. This is an opportunity to work with large-scale datasets, advanced analytics and emerging AI technologies to deliver meaningful business insights and measurable commercial value. You'll play a key role in transforming complex data into actionable intelligence, supporting decision-making across areas including client analytics, operational efficiency, portfolio analysis and business performance. Working alongside data engineers, analysts and business stakeholders, you will contribute to the development of modern analytical solutions using machine learning, AI and statistical techniques within a well-governed and evolving data environment. Key Responsibilities • Deliver end-to-end analytics solutions from data preparation through to insight generation • Develop and maintain analytical models using Python, SQL and cloud-based data platforms • Apply machine learning, AI and statistical techniques to business challenges • Work with NLP, LLM and Generative AI technologies where appropriate • Validate data, perform testing and ensure analytical output quality • Monitor model performance and support ongoing optimisation and governance • Contribute to MLOps practices including deployment, versioning and monitoring • Translate technical findings into clear business recommendations • Develop reusable analytical assets, datasets and reporting solutions • Collaborate with stakeholders to identify and prioritise high-value analytical opportunities Requirements • Commercial experience within Data Science, Analytics or a related discipline • Strong Python and SQL development skills • Experience applying statistical, machine learning or AI techniques to real-world problems • Experience working with structured datasets and analytical reporting solutions • Understanding of model validation, testing and performance monitoring • Strong analytical and problem-solving capabilities • Ability to communicate technical concepts to non-technical stakeholders • Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering or similar quantitative discipline Desirable • Experience with Microsoft Fabric or modern cloud-based data platforms • Exposure to NLP, LLMs or Generative AI technologies • Experience with MLOps practices and CI/CD pipelines • Understanding of data governance and model governance frameworks • Previous experience within financial services, fintech or regulated environments • Leadership or mentoring experience What's on Offer • Opportunity to work with advanced analytics, machine learning and AI technologies • Hybrid working arrangement • Exposure to large-scale datasets and business-critical projects • Collaborative and highly skilled data environment • Ongoing professional development and career progression opportunities • Opportunity to influence strategic decision-making through data-driven insights Apply If you're a Data Scientist who enjoys solving complex business problems through analytics, machine learning and AI, and you're looking to join a growing data-driven organisation where your work will have genuine impact, apply now or get in touch for a confidential discussion.
Jun 11, 2026
Full time
Data Scientist (Python / SQL / AI & Machine Learning) Location: Newcastle Upon Tyne Hybrid Salary: Competitive + Excellent Benefits Type: Full-time, Permanent Overview A leading financial technology and investment business is looking to appoint a Data Scientist to join its growing data and analytics function. This is an opportunity to work with large-scale datasets, advanced analytics and emerging AI technologies to deliver meaningful business insights and measurable commercial value. You'll play a key role in transforming complex data into actionable intelligence, supporting decision-making across areas including client analytics, operational efficiency, portfolio analysis and business performance. Working alongside data engineers, analysts and business stakeholders, you will contribute to the development of modern analytical solutions using machine learning, AI and statistical techniques within a well-governed and evolving data environment. Key Responsibilities • Deliver end-to-end analytics solutions from data preparation through to insight generation • Develop and maintain analytical models using Python, SQL and cloud-based data platforms • Apply machine learning, AI and statistical techniques to business challenges • Work with NLP, LLM and Generative AI technologies where appropriate • Validate data, perform testing and ensure analytical output quality • Monitor model performance and support ongoing optimisation and governance • Contribute to MLOps practices including deployment, versioning and monitoring • Translate technical findings into clear business recommendations • Develop reusable analytical assets, datasets and reporting solutions • Collaborate with stakeholders to identify and prioritise high-value analytical opportunities Requirements • Commercial experience within Data Science, Analytics or a related discipline • Strong Python and SQL development skills • Experience applying statistical, machine learning or AI techniques to real-world problems • Experience working with structured datasets and analytical reporting solutions • Understanding of model validation, testing and performance monitoring • Strong analytical and problem-solving capabilities • Ability to communicate technical concepts to non-technical stakeholders • Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering or similar quantitative discipline Desirable • Experience with Microsoft Fabric or modern cloud-based data platforms • Exposure to NLP, LLMs or Generative AI technologies • Experience with MLOps practices and CI/CD pipelines • Understanding of data governance and model governance frameworks • Previous experience within financial services, fintech or regulated environments • Leadership or mentoring experience What's on Offer • Opportunity to work with advanced analytics, machine learning and AI technologies • Hybrid working arrangement • Exposure to large-scale datasets and business-critical projects • Collaborative and highly skilled data environment • Ongoing professional development and career progression opportunities • Opportunity to influence strategic decision-making through data-driven insights Apply If you're a Data Scientist who enjoys solving complex business problems through analytics, machine learning and AI, and you're looking to join a growing data-driven organisation where your work will have genuine impact, apply now or get in touch for a confidential discussion.
Data Scientist London - 2x a week The Company They are a rapidly scaling European insurer with a strong track record of growth and significant external investment. Their operating model is highly data driven, with advanced analytics underpinning pricing and underwriting decisions. The business fosters a high performance culture and invests heavily in developing talent, particularly individuals with strong academic foundations and high potential. Their UK presence is a key strategic focus, with continued expansion of their analytics function. The Role You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include: Developing and improving pricing models to optimise competitiveness in the market Identifying and integrating new data sources into modelling approaches Building predictive models to simulate customer behaviour and risk outcomes Enhancing tariff structures and pricing strategies using advanced analytics Collaborating with cross functional teams to drive customer acquisition and growth Applying logical reasoning and structured thinking to complex business problems Your Skills and Experience Strong academic background in Mathematics, Physics or a related quantitative discipline Proven ability to apply data science or statistical modelling techniques in a commercial or academic setting Proficiency in Python or strong capability to learn quickly Excellent problem solving skills, with an ability to think logically and communicate reasoning clearly Motivated, intellectually curious, and comfortable working in a fast paced environment For experienced candidates, commercial exposure to modelling in any industry is welcomed What They Offer Hybrid working with a London base Clear progression opportunities in a scaling analytics team Exposure to impactful, end to end data science projects A high performance environment with strong investment in training and development How to Apply Please apply with your CV to be considered for this opportunity.
Jun 11, 2026
Full time
Data Scientist London - 2x a week The Company They are a rapidly scaling European insurer with a strong track record of growth and significant external investment. Their operating model is highly data driven, with advanced analytics underpinning pricing and underwriting decisions. The business fosters a high performance culture and invests heavily in developing talent, particularly individuals with strong academic foundations and high potential. Their UK presence is a key strategic focus, with continued expansion of their analytics function. The Role You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include: Developing and improving pricing models to optimise competitiveness in the market Identifying and integrating new data sources into modelling approaches Building predictive models to simulate customer behaviour and risk outcomes Enhancing tariff structures and pricing strategies using advanced analytics Collaborating with cross functional teams to drive customer acquisition and growth Applying logical reasoning and structured thinking to complex business problems Your Skills and Experience Strong academic background in Mathematics, Physics or a related quantitative discipline Proven ability to apply data science or statistical modelling techniques in a commercial or academic setting Proficiency in Python or strong capability to learn quickly Excellent problem solving skills, with an ability to think logically and communicate reasoning clearly Motivated, intellectually curious, and comfortable working in a fast paced environment For experienced candidates, commercial exposure to modelling in any industry is welcomed What They Offer Hybrid working with a London base Clear progression opportunities in a scaling analytics team Exposure to impactful, end to end data science projects A high performance environment with strong investment in training and development How to Apply Please apply with your CV to be considered for this opportunity.
PRODUCT DATA ANALYST / SCIENTIST UP TO £85,000 HYBRID - LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL Please note, you must be a UK resident and citizen to apply THE COMPANY Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they're now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights. THE ROLE As a Product Data Analyst/Scientist, you will: Own and drive product analytics, focusing on user behaviour and personalisation. Deliver insights that directly influence product strategy and experimentation. Build and maintain dashboards to track product performance and user engagement. Partner with stakeholders across product and analytics to communicate insights effectively. Support the business in becoming more data-driven, shaping commercial and product decisions. YOUR SKILLS AND EXPERIENCE Experience in product analytics, within B2C consumer tech businesses Strong SQL skills essential. Proficiency with data visualisation tools (Looker preferred, open to others). Experience with Python desirable. Product analytics expertise: experimentation, dashboarding, and driving product strategy. Excellent communication and stakeholder management skills. Experience influencing product roadmaps and delivering commercial impact. BENEFITS Opportunity to influence product strategy in a PE-backed, high-growth business. Work closely with senior leadership, including the Director of Analytics. Competitive salary plus benefits.
Jun 11, 2026
Full time
PRODUCT DATA ANALYST / SCIENTIST UP TO £85,000 HYBRID - LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL Please note, you must be a UK resident and citizen to apply THE COMPANY Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they're now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights. THE ROLE As a Product Data Analyst/Scientist, you will: Own and drive product analytics, focusing on user behaviour and personalisation. Deliver insights that directly influence product strategy and experimentation. Build and maintain dashboards to track product performance and user engagement. Partner with stakeholders across product and analytics to communicate insights effectively. Support the business in becoming more data-driven, shaping commercial and product decisions. YOUR SKILLS AND EXPERIENCE Experience in product analytics, within B2C consumer tech businesses Strong SQL skills essential. Proficiency with data visualisation tools (Looker preferred, open to others). Experience with Python desirable. Product analytics expertise: experimentation, dashboarding, and driving product strategy. Excellent communication and stakeholder management skills. Experience influencing product roadmaps and delivering commercial impact. BENEFITS Opportunity to influence product strategy in a PE-backed, high-growth business. Work closely with senior leadership, including the Director of Analytics. Competitive salary plus benefits.
STEM Recruitment is seeking a Principal Scientist with experience of Biophysics for a role based in Edinburgh. You will lead Drug Discovery projects, providing scientific leadership and applying expertise across various biophysical techniques such as SPR, GCI, ITC, DLS, DSF, and SEC-MALS. Your responsibilities include managing projects from initial client discussions to successful delivery, generating high-quality data, contributing to business proposals, and mentoring junior team members. The role requires a strong background in Pharmaceutical or related scientific fields, with extensive experience applying biophysical techniques in Drug Discovery settings, and preferably some experience in Protein Science or Structural Biology. Degree in a relevant field plus PhD or equivalent experience Proven success leading scientific, client-facing projects Experience across a broad range of biophysical techniques, including SPR, GCI, ITC, DLS, DSF, and SEC-MALS. Background in CRO, biotech, pharma, or academia Supportive leadership and mentoring skills Benefits include a competitive salary, enhanced pension scheme, health cash plan, holiday entitlement, and various wellbeing and development programmes. You will also benefit from our inclusive culture, flexible benefits, and opportunities for career growth within a leading scientific organisation committed to innovation and excellence.
Jun 11, 2026
Contractor
STEM Recruitment is seeking a Principal Scientist with experience of Biophysics for a role based in Edinburgh. You will lead Drug Discovery projects, providing scientific leadership and applying expertise across various biophysical techniques such as SPR, GCI, ITC, DLS, DSF, and SEC-MALS. Your responsibilities include managing projects from initial client discussions to successful delivery, generating high-quality data, contributing to business proposals, and mentoring junior team members. The role requires a strong background in Pharmaceutical or related scientific fields, with extensive experience applying biophysical techniques in Drug Discovery settings, and preferably some experience in Protein Science or Structural Biology. Degree in a relevant field plus PhD or equivalent experience Proven success leading scientific, client-facing projects Experience across a broad range of biophysical techniques, including SPR, GCI, ITC, DLS, DSF, and SEC-MALS. Background in CRO, biotech, pharma, or academia Supportive leadership and mentoring skills Benefits include a competitive salary, enhanced pension scheme, health cash plan, holiday entitlement, and various wellbeing and development programmes. You will also benefit from our inclusive culture, flexible benefits, and opportunities for career growth within a leading scientific organisation committed to innovation and excellence.
Harnham - Data & Analytics Recruitment
Leeds, Yorkshire
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Harnham - Data & Analytics Recruitment
Newcastle Upon Tyne, Tyne And Wear
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Jun 11, 2026
Full time
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Harnham - Data & Analytics Recruitment
Edinburgh, Midlothian
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
