1 to 25 of 31 Contract Machine Learning Jobs in London

Machine Learning Engineer/Data Scientist (SC Cleared) Location: Hybrid (2-3 days per week onsite Victoria, London) Rate: £570 per day (Inside IR35) Security Clearance: Active SC Clearance is essential We're looking for an experienced Machine Learning Engineer/Data Scientist to take ownership … live supervised machine learning models already running in production within a government environment. This is not a greenfield data science role. You'll be responsible for assessing, operating, and governing existing models that support operational decision-making. The focus is on understanding how models have been built, evaluating ...

combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows … ML issues in live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex ...

expanding its team and looking to bring in several Machine Learning Engineers . You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong software engineering fundamentals, hands … data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn ...

Machine Learning Engineer/Data Scientist (SC Cleared) Location: Hybrid (2-3 days per week onsite Victoria, London) Rate: £570 per day (Inside IR35) Security Clearance: Active SC Clearance is essential We're looking for an experienced Machine Learning Engineer/Data Scientist to take ownership … live supervised machine learning models already running in production within a government environment click apply for full job details ...

Machine Learning/AI Architect Day rate: £650pd inside IR35 Essential: Active SC clearance Remote with ad-hoc travel to site London Competencies/skills Essential Delivery experience of AI-focussed technology projects within larger, strategic programmes o Experience in hosting and tuning AI models to achieve … scalable AI inference for users o Experience in X-ray image based AI models, density and object-based identification o Experience with AI/ML platforms and processes: OpenVINO or similar toolkit; MLOps training pipeline; SageMaker. Requires experience of data governance, privacy policies and AI assurance methods Requires indepth ...

modernization programs. Knowledge of data governance frameworks and regulatory requirements. Familiarity with real-time streaming platforms such as Kafka and Azure Event Hub. Understanding machine learning and advanced analytics platforms. Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related discipline. Industry certifications ...

models in production with efficient use of compute. Develop and maintain cloud-native architectures that enable reliable deployment and scaling of AI/ML workloads. Deliver robust, tested and high-performance code in an agile environment, and work closely with ML engineers and domain experts to make the infrastructure … Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

will bring to the role: Extensive experience in Enterprise or Solution Architecture, with a proven track record of designing and delivering large-scale AI, machine learning, cloud, or distributed technology solutions. Deep hands-on expertise in Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation ...

data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical ...

Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability **Coordinate the development and deployment of data platforms, AI/ML capabilities, data quality solutions, and operational workflows **Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: **Strong experience leading … large-scale technology, data, or AI programmes **Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital transformation initiatives **Strong understanding of data management, data governance, cloud platforms, analytics, and AI/ML lifecycles **Strong experience with data quality, metadata management, master data management, knowledge graphs, or data ...

enforcement, intelligence, or regulatory case-management platforms. Familiarity with WSO2 API Gateway/IdAM, ClamAV or similar security tooling. Experience architecting data-science/ML tooling (SageMaker) or search/analytics platforms in an analytical-toolset context. Relevant security clearance, or the ability to obtain one. TOGAF, AWS Certified Solutions ...

disconnected environments, including offline dependencies and moving artefacts across the boundary. Good instincts on secure development, authentication, authorisation and secrets management. Putting AI or ML models into production, LLM features included. Infrastructure as code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message ...

established international platform across the UK and Canadian markets. Day to day responsibilities include: Production System Health: Oversee, refresh, and retrain the live ML model suite without needing to overhaul the underlying architecture. Keep an eye on model performance and drift. Commercial Analytics: Monitor baseline UK/CA performance metrics … Stack: Advanced SQL and Python (or R ) skills to maintain existing codebases and pipelines. Model Stewardship: Practical expertise in monitoring, troubleshooting, and retraining live ML models. Autonomous Operator: High self-direction to manage daily BAU operations with minimal oversight. Clear Communicator: Able to translate complex technical issues into actionable business ...

governance. Strong understanding of secure DevOps practices, CI/CD controls, and Infrastructure as Code (IaC) hardening. Experience applying security controls to AI and machine learning components, Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA ...

Skills and Experience you must have: Strong experience in AI Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms ...

reliable data solutions across both batch and real-time environments. You'll be involved in data engineering initiatives supporting modern analytics and AI/ML capabilities, working closely with technical and business teams to deliver secure, high-quality data solutions. The role offers a good mix of hands-on engineering ...

suitable for someone whose AWS experience is shipping Lambdas into an account someone else built. (Highly Desirable) You've built AI/ML platform capability on AWS yourself. Bedrock in particular - model access, guardrails, knowledge bases, agentic patterns - plus the surrounding tooling (SageMaker, vector stores, evaluation and observability). Expert ...

Must have worked in Global complex organisations Proven leadership experience in Data, Analytics, AI, or Business Intelligence. Strong knowledge of modern data platforms, analytics, machine learning and generative AI. Experience delivering data and AI strategies within complex organisations. Strong stakeholder management skills with the ability to influence senior ...

need At least two years of recent, hands-on Databricks experience Evidence of delivering Databricks solutions into production environments An active Databricks Data Engineering, Machine Learning or Generative AI certification Strong experience implementing Medallion Architecture across Bronze, Silver and Gold layers Hands-on Unity Catalog experience covering catalog ...

Financial Services experience. Knowledge of underwriting, claims or bordereaux data structures. Experience with Azure Data Factory, Synapse Analytics or Microsoft Fabric. Exposure to AI, Machine Learning and Microsoft Copilot technologies. Relevant Microsoft, Azure or TOGAF certifications. Developer & Solutions Architect - London Insurance Market Experience (Contract) London (3 days ...

statistical knowledge, including familiarity with probability, statistical inference, regression, experimental design and the interpretation of results. Exposure to advanced analytical and/or machine learning methods through study, research or practical experience, with an interest in understanding when different approaches are appropriate and what their limitations are. Strong ...

layer & agentic layer The ideal candidate: proven experience in quality engineering, testing or evaluation of data-driven and AI-powered products. strong understanding of machine learning systems, large language models (LLMs) and AI evaluation methodologies for production. experience defining performance metrics, KPIs, benchmarks and acceptance criteria ...

Services SQL and Data Management Technologies AI and Intelligent Product Ecosystems Business Intelligence and Reporting Platforms API and Integration Platforms Event-Driven Architectures Machine Learning Solutions Intelligent Workflow and Decisioning Platforms Partner with Programme Leads, Product Managers, Architects, Delivery Managers, and Quality Leadership teams. Govern supplier quality performance ...

potential extension Start: ASAP Key requirements: • 2+ years of recent, hands-on Databricks experience delivering production solutions • Active/current Databricks certification - Data Engineer, Machine Learning or Generative AI • Strong experience designing and implementing Databricks Lakehouse architectures • Hands-on implementation of Medallion Architecture - Bronze, Silver and Gold layers ...