1 to 25 of 45 Contract Machine Learning Jobs in London

Machine Learning Engineer 6 Month Contract UK Based Join us as a Senior Machine Learning Engineer In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms Day-to-day, you'll make sure … problems and enjoy excellent career development What you'll do Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. You'll also codify and automate complex machine learning model productions, including ...

taking ownership of complex, Enterprise - Level AI Transformations getting Hands-On with the Engineering required to move Theoretical Models into robust, Production-Grade ML systems. Role Overview: You will be stepping in as the Technical Lead for Large - Scale Enterprise Client s across Europe. You'll advise stakeholders on complex … Fluent in English . Bonus Points for those that speak both English & Spanish to work directly with Local Stakeholders. Who Should Apply: The ML Ops Veteran: Excellent Hands-On Experience building Distributed Machine Learning Pipelines & Production ML Systems at an Enterprise Scale. The Client-Facing Engineer ...

Contract Machine Learning/Data Scientist (SC Cleared) We are seeking an experienced Machine … Learning/Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments. Key Responsibilities: Develop and deploy machine learning models for anomaly detection Build proofs of concept (PoCs) to validate data ...

Demand Consultant - Machine Learning Integration (BPSS) Rate: £90/hr | Mostly WFH (some visits to Walton-on-Thames) Clearance: BPSS We are seeking a SAP IBP Demand Consultant to support the productionisation … external Python-based forecasting algorithm . The role focuses on integrating external forecast outputs into SAP IBP , moving beyond a pure IBP demand ML implementation. The Role Work with SAP IBP Demand modules with a strong statistical/ML background Integrate external forecasting methods into IBP Support promotions planning , ensuring ...

Contract Machine Learning/Data Scientist (SC Cleared) We are seeking an experienced Machine … Learning/Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments click apply for full job details ...

making Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well defined modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation … exploratory data analysis Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/ ...

strengthening operational resilience, and helping organisations realise the full potential of an AI enabled future. Key Responsibilities Build and ship production ready AI/ML features-from data ingestion and feature engineering to model training, evaluation, and deployment Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails … reviews, write unit/integration/e2e tests (including data and prompt tests), and uphold engineering standards and documentation Work with advanced AI/ML frameworks, cloud services, and container orchestration platforms As an AI Engineer, you are responsible for designing, building, and deploying scalable AI and machine learning ...

with an AI company in the trade and logistics space at a critical inflexion point, moving from enterprise pilots into production deployments. With strong ML capability already in place, they now need a senior contractor to come in and audit, structure, and productionise their existing ML systems . This role … building from scratch. The Role You will work directly with the technical co-founders to bring structure, scalability, and best practices across their ML and data setup, ensuring it is ready to support multiple enterprise deployments. Key responsibilities: * Audit current ML architecture, pipelines, and MLOps practices * Identify gaps in documentation ...

Data Scientist/Machine Learning Scientist - Outside IR35 Location: London (Hybrid) Length: 6 months Ready to build and deploy real AI systems at scale? Join a growing AI teams, where you'll shape how AI transforms global business. We're hiring hands-on operators who deliver production-ready ...

Demand Consultant - Machine Learning Integration (BPSS) Rate: £90/hr Mostly WFH (some visits to Walton-on-Thames) Clearance: BPSS We are seeking a SAP IBP Demand Consultant to support the productionisation of a new external Python-based forecasting algorithm click apply for full job details ...

proficiency (Git) all analytical work should be reproducible and code-reviewed Statistical & Analytical Foundation Postgraduate qualification (Master's or equivalent) in Statistics, Applied Mathematics, Machine Learning, Data Science, or a closely related quantitative field or demonstrated equivalent experience Deep understanding of statistical inference, uncertainty quantification, and the practical ...

Data Analyst role Not a Power BI/dashboard developer role Not an insight, reporting or MI position Not a modelling, ML or research-focused role Not an LLM, AI or advanced data science role While you may work alongside analysts and data scientists, this role does not centre … This role is unlikely to be appropriate for candidates who: Are very senior data engineers or architects Have primarily worked in advanced ML, AI, or research-focused roles Are specialised Power BI, reporting or MI developers Are looking for a role centred on analysis, insights or modelling Are seeking leadership ...

/CD pipelines (e.g., Azure DevOps) and infrastructure-as-code tools (e.g., Terraform) Familiarity with modern data platforms such as Snowflake Exposure to machine learning/AI workflows and related tooling Strong familiarity with Python libraries and developer tooling Nice to Have Experience in investment or financial services ...

between cost, latency, and production-scale performance. What you'll bring Proven extensive lead-level engineering experience delivering sports insights or sports data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data … other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi-modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

efficient cross-platform data sharing and analytics. Define target-state technical patterns for how multiple platforms co-exist or converge (data engineering, storage, ML/AI, BI, security, and governance). Contribute to the target architecture blueprint with concrete reference architectures, pattern catalogues, and technical guardrails. Propose migration approaches ...

someone else to interpret later. I'm particularly keen to speak to you if your background includes: Hands-on data science using Python, ML Frameworks and modern tooling Experience with optimisation, simulation, machine learning, or advanced analytics applied to real systems Clear examples of models you've personally ...

responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning tools, and visual analytics using internal frameworks. Translate technical outputs into clear, strategic recommendations for senior ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

small team Strong communication skills and willingness to ask for support when needed Bonus Points Experience designing data models to support AI/ML or LLM-based analytics Interest in using AI tools to enhance developer productivity Exposure to semantic layers or metrics layers Experience with customer data Ability ...

OWASP ASVS, OWASP SAMM, NIST, ISO 27034). Desirable Skills/Knowledge/Experience Experience implementing or advising on secure use of AI/ML applications, including secure patterns for Generative or Agentic AI. Background in secure architecture reviews for microservices, APIs, and cloud-native application stacks (AWS, Azure ...

data analysis, modelling, and reporting Utilize key R libraries such as: tidyverse (data manipulation and visualization) data.table (high-performance data processing) caret/mlr3 (machine learning) shiny (interactive dashboards) plumber (API development) Create reusable R modules and packages for internal use Configure and manage R environments across local ...

Clearance. Core Responsibilities Translate business requirements into Azure-native AI solution architectures Design end-to-end architectures using Azure OpenAI, Azure AI Search, ML, data platforms, compute, networking, and identity Select and define architecture patterns (RAG, agentic workflows, streaming vs batch, hybrid approaches) Define non-functional requirements: security, scalability, performance ...

problem-solving skills with a focus on automation and system reliability Desirable Experience Experience in regulated or large enterprise environments Exposure to AI/ML-driven observability or proactive monitoring initiatives Contribution to or involvement with open-source observability projects If this sounds like a fit, APPLY NOW! Telemetry & Observability ...