1 to 25 of 57 Contract Machine Learning Jobs in London

of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role … is critical in project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet … data transparency, integrity, and compliance throughout the portfolio. Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and More ❯

applicants. Applying through Talent Hero gives you access to global opportunities without navigating the typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of … learning models to solve complex business problems Develop scalable data pipelines for training, testing, and deploying models Collaborate with data scientists, product teams, and software engineers to integrate ML into production Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing … and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar More ❯

Senior ML & AI Backend Engineer - Big Data, LLMs & MLOps About the Role We're an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We're looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend … collaborative teams and want your work to have a direct, tangible impact, this is the place for you. What You'll Do Architect and implement scalable backend systems powering ML models and LLMs in production. Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment, monitoring, and iteration. Develop solutions for big data storage and … processing, ensuring data quality, security, and efficiency. Integrate and optimize both classical ML models and LLMs for real-world use cases. Research and experiment with state-of-the-art algorithms, tools, and frameworks - bringing fresh ideas from prototype to production. Collaborate closely with a cross-functional team of data scientists, engineers, and product stakeholders. Write clean, maintainable, well-tested code More ❯

retention, personalisation, and campaign effectiveness. You'll be part of a collaborative, technically skilled team that combines deep analytical thinking with commercial understanding to solve complex marketing challenges using machine learning and statistical modelling. Key Responsibilities Advanced Analytics & Modelling Design and implement machine learning algorithms and statistical models tailored to the marketing domain Apply techniques such … experimentation strategy Project Delivery & Agile Working Lead and manage data science projects from scoping to delivery Participate in agile ceremonies and demonstrate flexibility in a fast-paced environment Continuous Learning & Innovation Stay up to date with the latest trends in marketing science, machine learning, and data engineering Share knowledge and champion experimentation within the team What We … background in marketing analytics or a clear passion to grow in this domain Proficiency in Python and SQL (a technical test is part of the process) Solid understanding of machine learning, statistical modelling, and experimentation Strong communication skills to engage with business teams and explain complex concepts clearly Experience working with cloud platforms and big data tools, preferably More ❯

improvements. THE ROLE You'll join a skilled data team to lead the build and optimisation of scalable pipelines using DBT, Airflow, and Databricks. Working alongside data scientists and ML engineers, you'll support everything from raw ingestion to curated layers powering LLMs and advanced analytics.Your responsibilities will include: Building and maintaining production-grade ETL/ELT workflows with DBT … and Airflow Collaborating with AI/ML teams to support data readiness for experimentation and inference Writing clean, modular SQL and Python code for use in Databricks Contributing to architectural decisions around pipeline scalability and performance Supporting the integration of diverse data sources into the platform Ensuring data quality, observability, and cost-efficiency KEY SKILLS AND REQUIREMENTS Strong experience with … SKILLS Exposure to LLM workflows or vector databases Experience in the media, content, or publishing industries Familiarity with cloud data platforms (e.g., AWS or Azure) Knowledge of MLOps and ML/data science pipelines HOW TO APPLY To register your interest, please apply via the link or get in touch with your CV. More ❯

for building platforms that empower clients. - Commitment to cybersecurity best practices and data privacy. - Automation-first mindset: from infrastructure to testing and deployment. - Growth mindset: You embrace change, continuous learning, and innovation. What's In It For You? - End-to-end ownership: Engage directly with customers to close feedback loops and shape the product. - Modern DevOps culture: Deploy microservices … Work with AI and expand your skills into Python and other emerging technologies. - Be part of a collaborative, forward-thinking team building the next generation of microservices platforms. - Continuous learning, we believe, ongoing training is key to success. Our Tech Stack - Frontend: React - Backend: Nest.js, Python/fastapi, LangChain Test Automation: Pact, Jest, Cypress, and Pytest (including AI test … banks and fintechs with cutting-edge, AI-powered regtech solutions. We're building a product and engineering team to drive the platform in an agile way, using AI and ML at its core, enabled by microservices running in AWS. We aim for full CI/CD, deploying as soon as tests are green. We value clarity, transparency, and craftsmanship in More ❯

culture, enabling self-serve capabilities and empowering business users Introduce scalable data governance frameworks using industry-leading tooling (e.g. Collibra, Alation, Monte Carlo) Oversee the delivery of AI/ML initiatives and advanced analytics use cases in partnership with business and product teams Ensure compliance with regulatory standards (FCA, GDPR) while enabling data innovation Report directly into senior leadership (e.g. More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

or Tableau. Skilled in segmentation, stratification, equity analysis, and predictive analytics. Excellent project and stakeholder management, with ability to lead multiple complex streams simultaneously Experience in data science and machine learning projects in the healthcare sector. Desirable Previous experience working in, or collaborating with, academia, in high impact and multi-institutional settings. Previous experience or building or working More ❯

experience in data-driven marketing, analytics consultancy or similar Familiarity with quasi-experimental designs and A/B testing frameworks Background in software design, data structures or production-grade ML engineering Technical Toolbox Modelling & data : Python or R, SQL Containerisation : Docker Cloud platforms : AWS, GCP or Azure More ❯

analytics, recommendation systems, and NLP applications. Mentor and guide junior data scientists and analysts. Stay up to date with the latest research, tools, and techniques in data science and machine learning. … What We're Looking For 5+ years of experience in data science, machine learning, or a related field. Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch. Deep experience in building and deploying models at scale. Solid understanding of statistics, experimentation, and data storytelling. Experience working with cloud environments (AWS … adaptable, and collaborative. Why Join Us? Competitive compensation, including meaningful equity. Remote-friendly with flexible working hours. Work on high-impact projects that apply AI to real-world problems. Learning budget for conferences, courses, and books. Supportive, innovative team culture that values curiosity and experimentation. More ❯

skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow More ❯

Intelligence & Machine Learning) £400 - £500 per day | Remote/UK-Based | Contract/Freelance Are you an expert in Artificial Intelligence (AI) and Machine Learning (ML) looking for flexible freelance opportunities? We are seeking an experienced AI Trainer to deliver AI and Machine Learning training courses to professionals and organisations across the UK. As … provider of IT and technology training , you'll deliver high-quality, hands-on AI training programmes that help businesses harness the power of modern AI technologies. Responsibilities ? Deliver AI, Machine Learning, and Data Science training courses virtually or in-person ? Create an interactive, engaging learning experience for corporate teams and professionals ? Share best practices and real-world … AI use cases to enhance learning outcomes ? Keep training content up-to-date with emerging AI technologies and trends Requirements ? Proven expertise in AI, Machine Learning, Deep Learning, and Data Science ? Experience as a trainer, instructor, or consultant in a technical field ? Strong communication and presentation skills for diverse learners ? Familiarity with AI tools such as More ❯

data quality. Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly. Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to … job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or recommendation systems at scale. Strong grasp of … mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML. Hands-on cloud ML experience (AWS or Azure). Proven track record turning prototypes into reliable production services. Clear communication and documentation habits. More ❯

Engineer working within GCP environments. Strong DevOps expertise, including CI/CD, containerisation (Docker/Kubernetes), and Infrastructure as Code (Terraform). Hands-on experience with Google AI/ML tools, such as Vertex AI, AutoML, or GenAI APIs. Proficiency in Python or similar languages used in AI/ML development. Excellent communication skills and a collaborative mindset. Contract Details More ❯

business architecture and MACH principles (Microservices, API-first, Cloud-native, Headless). Experience with agile at scale (e.g., SAFe, LeSS). Background in data architecture, analytics, or AI/ML platforms. Define and own the solution architecture and platform tech and data design, aligned with business transformation goals and enterprise architecture principles. Govern architectural standards, patterns, and principles Ensure interoperability … understanding of insurance or regulated financial services. Familiarity with modular business architecture and MACH principles (Microservices, API-first, Cloud-native, Headless) Background in data architecture, analytics, or AI/ML platforms. 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 More ❯

A/B tests or causal analyses on pricing levers Excellent communication-able to explain complex models to non-technical audiences Full UK work authorisation Desirable Familiarity with production ML workflows (version control, CI/CD) Background in retail or e-commerce pricing platforms Technical Toolbox Modelling & data : Python, SQL Experimentation : A/B testing frameworks Containerisation : Docker BI & warehousing More ❯

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯

Job Title: Data Engineer/Software Engineer - AI/ML Research Location: London- UK (Hybrid role) Duration: Contract- Until Dec 25 with a possible extension About the Role We are seeking a Data Engineer/Software Engineer to support a pioneering project focused on LLM agents for research . You will play a key role in onboarding and filtering text … specific data pipelines or filtering frameworks. Knowledge of machine learning concepts. Exposure to front-end technologies like JavaScript is a plus. Background in research or AI/ML project environments is beneficial. More ❯

Security Risk Analyst - Artificial Intelligence (AI) - Machine Learning (ML) Our client, a global insurance organisation, is looking to recruit the services of an experienced Senior Risk Analyst with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) to join our client's Security Risk Management team. This role plays a pivotal … and managing risks related to AI-driven projects across a global enterprise, ensuring new technologies are adopted safely and responsibly. Key Responsibilities Conduct enhanced risk assessments of AI/ML-based initiatives and proof-of-concepts. Evaluate AI systems for potential misuse, abuse, or adversarial threats. Collaborate with stakeholders across IT, Data Privacy, Innovation, and Business to identify and mitigate … models and propose compensatory controls. Present findings to internal governance groups and help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands-on knowledge of LLMs, deep learning frameworks (eg, PyTorch, TensorFlow). Advanced Python skills; SQL a plus. Experience articulating risks in business terms and advising on mitigation. More ❯

Key Responsibilities • Design, Architect and deploy AI/ML and Gen AI solutions on OCI using native AI services (e.g., OCI Data Science, AI Services, Gen AI Agents) that are secure, scalable and optimized for performance & cost. • Build agentic AI solutions using frameworks such as LangGraph, CrewAI, AutoGen.• Design & lead the development of machine learning AI/ML … architectural insights and technical credibility. We are looking for an experienced OCI AI Architect to lead the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. This role requires a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal … candidate combines deep technical expertise in AI/ML and Gen AI over OCI with domain knowledge in Finance and Accounting. More ❯

Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Building AI agents, or products that … rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models. (Desirable) Hands-on experience with containerisation technologies such as Docker. (Desirable More ❯

to generate insights and drive decision-making. The team is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly Overview: Designs and develops creative software solutions, and technical troubleshooting with ability to … Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience across Internal and External Cloud Providers Experience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision infrastructure across More ❯