53 jobs found

Senior Data Science Consultant £60k - £70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

SC Cleared Data Ethicist - Contract Rate: Up to £620 per day (Inside IR35) Location: London or Manchester (1-2 days per week on-site) Contract: 6 months Clearance: Active SC required We're hiring an experienced SC-cleared Data Ethicist to support the delivery of a high-profile central government data and AI programme. This role focuses on ensuring ethical, responsible, and transparent use of data and AI technologies, balancing innovation with public trust, compliance, and societal impact. This is a hands-on advisory and governance role, working closely with data scientists, engineers, architects, policy teams, and senior stakeholders to embed ethical principles into data-driven services and decision-making processes. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Data Ethicist or in responsible AI/data ethics roles within central government or regulated environments Strong understanding of ethical frameworks for data and AI (eg fairness, accountability, transparency, explainability) Experience applying ethical principles to AI/ML models and data-driven products Knowledge of UK regulatory and ethical standards (eg GDPR, ICO guidance, AI assurance frameworks) Familiarity with bias detection, mitigation, and fairness evaluation techniques Experience working with data governance, risk, and compliance teams Understanding of cloud-based data and AI platforms (Azure/AWS) Strong stakeholder engagement and communication skills, including ability to challenge constructively Experience working in Agile, multidisciplinary teams Responsibilities Define and implement data ethics and responsible AI frameworks aligned to government standards Assess ethical risks in data use, analytics, and machine learning models Provide guidance on fairness, bias mitigation, transparency, and explainability Review and challenge data-driven solutions to ensure ethical compliance and public trust Collaborate with delivery teams to embed ethics into design, development, and deployment processes Support the development of ethical impact assessments and governance controls Work with legal, policy, and technical teams to ensure regulatory alignment Contribute to documentation, standards, and audit readiness Promote a culture of ethical data use across teams and stakeholders Working Pattern 1-2 days per week on-site in London or Manchester Remaining days remote, offering a flexible hybrid working model If you're an SC-cleared Data Ethicist with strong experience in responsible AI, governance, and ethical data practices within complex environments, we'd like to hear from you. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

SC Cleared Machine Learning Engineer - Contract Rate: Up to £620 per day (Inside IR35) Location: London or Manchester (1-2 days per week on-site) Contract: 6 months Clearance: Active SC required We're hiring an experienced SC-cleared Machine Learning Engineer to support the delivery of a high-profile central government programme. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. This is a hands-on engineering role, working closely with data scientists, analysts, architects, and product teams to productionise models, build data pipelines, and embed ML capabilities into live services. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Machine Learning Engineer within central government or regulated environments Strong programming skills in Python (eg Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with large-scale structured and unstructured datasets Knowledge of AI ethics, bias mitigation, and model governance Comfortable working in Agile, multidisciplinary teams Strong stakeholder communication skills Responsibilities Design, build, and deploy machine learning models to solve complex business problems Develop and maintain scalable data pipelines and feature engineering workflows Productionise data science models and integrate them into live services and platforms Implement MLOps best practices, including model versioning, monitoring, and CI/CD Collaborate with data scientists, analysts, and architects to design end-to-end ML solutions Ensure models meet security, governance, and compliance requirements Optimise model performance, scalability, and reliability Document models, pipelines, and processes in line with government standards Contribute to continuous improvement and innovation across ML capabilities Working Pattern 1-2 days per week on-site in London or Manchester Remaining days remote, offering a flexible hybrid working model If you're an SC-cleared Machine Learning Engineer with strong experience in cloud platforms (Azure/AWS), production ML systems, and delivering data-driven solutions in complex environments, we'd like to hear from you. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.

Developing data analytic pipelines and novel methodologies for scientific applications This hybrid-style role combines a healthy dose of data science analytics, scientific project understanding and Python software engineering. The role will work with experimental lab scientists to extrapolate key findings from their noisy data sets, developing reproducible processes to create software pipelines. The company is a Cambridge based start-up, working on molecular physics-based problems with applications in synthetic biology. They are testing the boundaries of scientific innovation through their expertise and applied knowledge. Whilst projects are very much at the prototype stage, they have commercial awareness and experience to take their technology to market. This is a key hire for the company, as the Research Scientist will play an important role from taking the science out of the lab and into a product platform. Initial projects will focus on computational analyses of time series data, developing relevant algorithms for event identification and characterisation, and support on-going experiments and projects. Requirements: Degree and PhD in physics, chemistry, bioengineering, or similar. Demonstrable project experience in data analysis applied to science areas such as electrochemistry, physiological measurements, or neurochemistry. Excellent Python coding skills and understanding of good software engineering processes (version control, repositories, testing etc ). Understanding how to visualise data for academic and industrial reports. Any experience with applied machine learning techniques used for signal processing would be desirable. Similarly, experience working in biotech or pharmacological projects would be of interest. As this is a start-up, the expectation is that the role would be fully onsite with occasional hybrid working when projects allow. Further, no company sponsorship is available, so interested candidates should have unrestricted rights to work in the UK (candidates holding visas with time restrictions will not be taken forward). On offer is the chance to work in a dynamic company as they begin their growth and be compensated with an excellent remuneration package. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27643 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Junior Software Engineer Location: Office based, Whiteley PO15 7AF Salary: Competitive, depending on experience Contract: Full Time, Permanent Benefits: 27 days holiday (increasing 1 day each year), Flexible working hours, Share options, Company pension, Cycle to Work Scheme, Private Dental care About the company: iFAST Diagnostics is a medical device company that has developed a game-changing, rapid antimicrobial susceptibility test, that will enable the right antibiotic treatment for all patients with bacterial infections. Currently, these tests take 48-72 hours, but iFAST's tests are 10x faster giving full quantitative and qualitative results in under 3 hours from a positive blood culture or bacterial isolate. Job Role: We are seeking a Software Engineer or Computer Scientist to join our team as we roll out our instruments in the UK, having just received our UKCA approval for the first product. You will design, implement and test a variety of software including middleware, firmware and algorithm development which are integral to our novel medical diagnostic product Responsibilities: • Development of software for our current and future instruments, including algorithm development, processing code and middleware. • Writing code and algorithms in accordance with good Software practise Experience of relevant standards and medical device regulations would be beneficial (e.g. ISO 13485, ISO 9001 ISO 14971 and IEC 62304.) • Development of test plans and procedures, conducting and accurately documenting the tests at unit, sub-system and system level. • Working closely with internal and external stakeholders e.g. production, service, sales teams and suppliers. Knowledge, Skills & Experience: • Have experience of software development for medical devices or similar within an ISO regulated environment and be able to work to associated regulations such as IEC 62304. • Be able to work efficiently with source code management tools. • Be familiar with IEC 62304 compliant software development processes and standards to produce well documented, maintainable, and test-driven code. • Understand machine learning concepts and be able to choose appropriate techniques for a given task and dataset, including supervised learning. • Have a strong mathematical and statistical background and be able to apply this to algorithm development. • Have experience of writing software for controlling electromechanical equipment, ideally in C/C++, Python, MATLAB or PLC code. • Hold a (first or 2:1) degree in a relevant discipline. • Need to be able to work under minimal supervision with a flexible attitude and be capable of solving problems and working to an agreed timescale to deliver on your projects. If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance. No agencies please.

Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)

Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.

Senior Machine Learning Engineer London, Hybrid (Twice Per Week) Up to £110,000 + 20% Bonus This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference. The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days per week in the London office Exposure to varied, high impact machine learning projects Clear scope for technical ownership and career progression A collaborative culture with strong investment in data and AI capability

Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function

Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function

Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager

Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.

Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Machine Learning Developer - Quant Strategies An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research. This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector. In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition. This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations. To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat. In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas. For more details make a confidential application now and a member of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo.

Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Applied AI Scientist Location: London Contract type: Contract Rate / Salary: 600- 800 Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for an Applied AI Scientist to join our client's growing Data Science profession. This is a senior, hands-on technical role for someone who enjoys deep technical delivery and influencing through credibility rather than hierarchy. The role focuses on applying modern AI techniques to real-world problems in complex, constrained environments. You will work closely with users, stakeholders and fellow data scientists to translate real operational needs into effective AI solutions that deliver tangible outcomes. You will often be working in settings where model behaviour, system constraints and human use interact in non-obvious ways. This is not AI experimentation for its own sake. It is about building solutions that work in practice. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.