1 to 25 of 79 Contract Machine Learning Jobs in London

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote … month initial A FTSE 100 retail client are on the look for a Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter … Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP More ❯

with long term potential Global Retail business is looking for a Data Scientist to join their advanced data science team. This is an exciting opportunity to apply cutting-edge machine learning techniques to real-world problems, driving innovation and value across a data-rich business environment. Key Responsibilities: Design … build, and deploy data science solutions to support business initiatives, with a focus on machine learning and time series forecasting. Collaborate with cross-functional teams to integrate ML models into production systems using modern cloud platforms. Communicate insights and model outputs to stakeholders in a clear, actionable way. Key Skills & Experience: Proven experience working as a Data Scientist … such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid understanding of time series analysis and forecasting techniques. Strong foundation in computer science principles - data structures, algorithms, software architecture, and data modelling. Deep understanding of More ❯

Head of ML | Contract | £750pd | Outside IR35 | Hybrid, 2-days per week | London My client is on the lookout for a Head of Machine Learning to join the team on a contract basis. This client is a consultancy and have had an influx of AI/ML work, without having the headcount to oversee some of the projects. … So, we're looking for the right person to come in and look after two teams of ML Engineers and Data Scientists and oversee the delivery of work for their clients. The role has been determined outside IR35 and will run for a minimum of 6-months. Technical Skills Machine Learning & Deep Learning Supervised/unsupervised/… training, validation, and evaluation Deep learning architectures (CNNs, RNNs, Transformers) Data Science Statistical analysis, feature engineering, A/B testing Experiment design and hypothesis testing MLOps & Engineering Scalable ML systems (batch and real-time) ML pipelines, CI/CD, monitoring, deployment Familiarity with tools like MLflow, Kubeflow, Airflow, Docker, Kubernetes Strategic skills Align ML initiatives with business goals Prioritize More ❯

PRA SS1/23. The ideal candidate will have a strong quantitative background, hands-on programming experience in Python, and a track record of developing or validating AI/machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality … across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability Collaborate with model developers, compliance, and … senior stakeholders Support regulatory validation work under FCA and other relevant frameworks Contribute to the enhancement of validation methodologies for surveillance models Skills and Experience Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries Strong academic background in data science, statistics, mathematics, computer science, or a related field More ❯

PRA SS1/23. The ideal candidate will have a strong quantitative background, hands-on programming experience in Python, and a track record of developing or validating AI/machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality … across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability Collaborate with model developers, compliance, and … senior stakeholders Support regulatory validation work under FCA and other relevant frameworks Contribute to the enhancement of validation methodologies for surveillance models Skills and Experience Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries Strong academic background in data science, statistics, mathematics, computer science, or a related field More ❯

Senior Machine Learning Engineer 3 Month Contract Initially with most probable extension Location- London- Working Remotely Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month … contract with a high probability of extension. The Role We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment. What You'll Bring … Production Experience : Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies. Technical Skills : Strong proficiency in languages like Java, Scala, or Python . Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributed systems is a plus. This More ❯

Senior Machine Learning Engineer 3 Month Contract Initially with most probable extension Location- London- Working Remotely Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month … contract with a high probability of extension. The Role We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment. What You'll Bring … Production Experience : Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies. Technical Skills : Strong proficiency in languages like Java, Scala, or Python . Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributed systems is a plus. This More ❯

Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role: To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists at the forefront of financial … innovation. Your Role Design, build, and deploy state-of-the-art ML models for alpha generation, portfolio construction, pricing, and risk management Lead ML research initiatives and contribute to long-term modeling strategy across asset classes Architect robust data pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes … Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're Looking For Required: 7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund More ❯

The Role As a Data Scientist, you'll work within a multidisciplinary team to extract insight from complex, high-volume datasets. You'll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels. This role offers the opportunity to apply your technical skills … and mission specialists to ensure data-driven outcomes that make a tangible difference. Key Responsibilities Perform data wrangling , cleaning, transformation, and preparation of large, complex datasets Develop and deploy machine learning models to solve real-world operational problems Write clean, maintainable Python code for data analysis, automation, and modelling Collaborate with engineers and analysts to integrate models into … technical and non-technical stakeholders Contribute to the ongoing improvement of analytical tooling and processes Skills & Experience Current enhanced DV clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding More ❯

Job Title: Machine Learning Engineer (Data/ML) Location: London/Hybrid - Once a week (Thursday) in London Duration: 6 Months Day Rate: £500 per day overall assignment rate to umbrella. This is a greenfield based project with crossover from another tech team conducting a similar model. You will collaborate with the Data Scientist, Data Architect, and cross … Tech Teams , supporting the build phase while contributing hands-on technical expertise. Key Responsibilities: Work with the Senior Engineer/Tech Lead to implement and optimise data pipelines and ML models. Develop high-quality, maintainable code in Python and PySpark. Use SQL and Jupyter to analyse, transform and validate data for ML use cases. Operate in a cloud environment (AWS … . Collaborate with stakeholders and technical teams to deliver solutions that support business growth. Skills & Experience Required: Strong hands-on experience in Python, PySpark, SQL, Jupyter . Experience in Machine Learning engineering or data-focused development. Exposure to working in cloud platforms (AWS/Azure) . Ability to collaborate effectively with senior engineers, data scientists, and architects. Proactive More ❯

AI Software Developer (Python, JavaScript, ML) - London/Hybrid Day rate: £500 - £800 (inside IR35) Duration: 6 - 12 months Start: ASAP Hybrid: 3 days on site per week My client is looking for a Software Developer with AI, Python and JavaScript experience to join on a contract basis. As a Software Developer - AI, you will focus on the development and … to integrate AI models into digital products, ensuring seamless user experiences. Collaborate with AI specialists to test and deploy models, ensuring they meet performance, security and scalability requirements Continuous Learning and Improvement Stay up to date with the latest AI and machine learning technologies, incorporating new tools and techniques into your development work. Participate in agile team … meetings, providing input on sprint planning, task estimation, and iterative improvements Requirements: 3+ years of experience in software development, with exposure to AI or machine learning projects. Proficient in Python and JavaScript, ideally with hands-on experience in building Gen AI proof of concepts or integrating LLM APIs. Familiarity with AI platforms such as OpenAI, Anthropic, or Databricks. More ❯

AI Software Developer (Python, JavaScript, ML) - London/Hybrid Day rate: £500 - £800 (inside IR35) Duration: 6 - 12 months Start: ASAP Hybrid: 3 days on site per week My client is looking for a Software Developer with AI, Python and JavaScript experience to join on a contract basis. As a Software Developer - AI, you will focus on the development and … to integrate AI models into digital products, ensuring seamless user experiences. Collaborate with AI specialists to test and deploy models, ensuring they meet performance, security and scalability requirements Continuous Learning and Improvement Stay up to date with the latest AI and machine learning technologies, incorporating new tools and techniques into your development work. Participate in agile team … meetings, providing input on sprint planning, task estimation, and iterative improvements Requirements: 3+ years of experience in software development, with exposure to AI or machine learning projects. Proficient in Python and JavaScript, ideally with hands-on experience in building Gen AI proof of concepts or integrating LLM APIs. Familiarity with AI platforms such as OpenAI, Anthropic, or Databricks. More ❯

and who have: Minimum of 10 years in technical architecture on the enterprise level. Experience working in interdisciplinary teams to design and deliver solutions. Extensive experience in AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions. Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and … MLOps(machine learning operations) practices. Deep knowledge about design and implementation of secure integrations between AI solutions and legacy enterprise software, whilst ensuring compliance with government-level security requirements, implementing single sign-on (SSO) authentication protocols Deep knowledge about costing of AI models to produce reasonable ROI and modular reusable services with moderate level of maintenance. Understanding of … on calculated technical risks to deliver faster. Experience of Agile, Incubator or other Rapid development techniques. To be considered: Recent experience operating within a Central Government department AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions To apply, please submit latest CV for review More ❯

You will have: Minimum of 10 years in technical architecture on the enterprise level. Experience working in interdisciplinary teams to design and deliver solutions. Extensive experience in AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions. Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and … MLOps(machine learning operations) practices. Deep knowledge about design and implementation of secure integrations between AI solutions and legacy enterprise software, whilst ensuring compliance with government-level security requirements, implementing single sign-on (SSO) authentication protocols, and maintaining appropriate access controls for OFFICIAL and OFFICIAL-SENSITIVE information handling. Deep knowledge about costing of AI models to produce reasonable More ❯

London, UK Hybrid (3 days onsite) Duration: Until Dec 2025 (ASAP start) Description: We are seeking an experienced Research Assistant to support ongoing work in the artificial intelligence and machine learning domain . The role will focus on building, testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You … to medium-scale Python codebases. Requirements: Essential: Bachelors degree in Computer Science, Engineering, or related field, or equivalent practical experience. 2+ years experience in prototyping, testing, or research within ML, deep learning, or NLP. Proficiency in Python (intermediate level; ability to navigate multi-file codebases and write clean code). Familiarity with AI agent frameworks such as Model Context More ❯

for leading GSI in the software engineering market AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML models, cloud computing, and scalable system architecture. This role requires expertise in architecting intelligent agents, optimizing cloud-based deployments, and integrating AI services into enterprise applications. Key Responsibilities: Architect and … ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML engineers to integrate machine learning models into cloud-native applications. Ensure security, scalability, and reliability of AI agent solutions in production environments. Design event-driven and serverless architectures … governance. Required: 5+ years of experience in solution architecture with a focus on AI, APIs, and cloud technologies. Strong hands-on experience with AWS services related to AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. More ❯

Senior ML Engineer | £750/day | Remote | 6 Months+ | UK | We're hiring a very senior Machine Learning Engineer to lead model optimization for a cutting-edge AI hardware platform built for high-performance edge inference. Backed by $200M+ in funding, this stealth-mode startup is reimagining how AI runs in real-time; on-device, energy-efficient, and … ONNX, OpenVINO, TVM) Collaborate with hardware, compiler, and embedded teams Benchmark and validate performance in real-world edge scenarios (CV, robotics, industrial AI) What You Bring 7+ years in ML engineering, with deep expertise in model optimization for edge or custom silicon Strong knowledge of neural networks, hardware-aware inference, and deployment pipelines Hands-on with embedded inference toolchains and … performance profiling Python, C++, and a mindset for getting things running fast and efficiently | Senior ML Engineer | £750/day | Remote | 6 Months+ | UK | RSG Plc is acting as an Employment Business in relation to this vacancy. 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) NB: BPSS & eligible for SC level vetting To apply, please submit latest CV for review More ❯

make personalised treatments faster, more effective, and more accessible - and this role is key to that vision. The team is building cutting-edge data infrastructure to power scientific and ML applications, and they're seeking a Data Engineer with strong experience developing scalable, high-quality data pipelines in the cloud. The Role You'll join a team of data scientists … bioinformaticians, and engineers working at the intersection of healthcare and AI. Your focus will be on designing and maintaining the data pipelines that feed large-scale ML and research workflows. Day-to-day responsibilities include: Building and maintaining data pipelines using Python, SQL, Spark, and Google Cloud technologies (BigQuery, Cloud Storage). Ensuring pipelines are robust, reliable, and optimised for … AI/ML use cases. Developing automated tests, documentation, and monitoring for production-grade data systems. Collaborating with scientists and ML engineers to meet evolving data needs. Participating in code reviews, introducing best practices, and continuously improving performance and quality. Tech Stack & Skills Core Skills: Strong experience with Python and SQL in production environments Proven track record developing data pipelines More ❯

to detail Knowledge of a wide variety of Generative AI models Conceptual understanding of how large language models work Proficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python) Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential) Experience with cloud native tooling for Azure and AWS More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python , integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

tech stack. THE ROLE As a Contract Python Backend Engineer , you'll take ownership of backend development for a Python-based web application, ensuring smooth integration with AI/ML pipelines and data infrastructure. You'll work closely with data engineers, AI specialists, and frontend developers to deliver robust, production-quality software. Key Responsibilities: Build and maintain Python web applications … FastAPI preferred) Integrate AI/ML components with backend, data, and compute infrastructure Deliver clean, well-documented code following best practices Implement automated testing frameworks and CI/CD workflows Monitor and improve performance metrics across deployed tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI … a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable) THE BENEFITS Competitive day rate More ❯

product Ensure Development, AI and Digital Product Delivery adhere to best practices, agreed standards, policies and procedures, as well as governance and compliance are adhered to Adopt a continuous learning and improvement mentality, promoting an innovative culture, staying up to date with trends Build and maintain early-stage product ideas/concepts using C# and .NET Contribute to full … years’ experience as a C# Developer with proficiency in Python, .NET framework and C# as well as experience with ML.NET, ASP.NET, MVC, Web API Containers (Docker/Kubernetes), Machine Learning Operations (MLOps) and CI/CD Good knowledge of IT industry trends (especially GenAI and AgenticAI), suppliers, platforms and products Post productions MLOps, Model retaining and Drift monitoring … JSON Strong command of SQL for database management, query optimisation and No SQL databases Experience in Python Programming and data visualisation using PowerBI or similar tools Exposure to applying ML algorithms, libraries or frameworks and build models to predict outcomes and automate processes Significant experience working within an Agile software development and delivery process. Comfortable participating in backlog estimation, planning More ❯

with excellent attention to detailKnowledge of a wide variety of Generative AI modelsConceptual understanding of how large language models workProficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)Experience with cloud native tooling for Azure and AWSStrong More ❯

doing: Build and maintain Python backend systems for GenAI evaluation Integrate LLM components with data and compute infrastructure Deliver clean, well-tested, production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/CD, Git/GitHub More ❯