1 to 25 of 45 Contract Machine Learning Jobs in the UK

learning to drive innovation in the fintech space, we want to hear from you! Key Skills & Experience Required: Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle. Proven experience with CI/CD, DevOps, and MLOps, especially in supporting and … improving production systems Strong familiarity with web server and API designs for ML model deployments. Experienced in Real time - Data Science Applications. Proficient Python skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks.Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing … a Machine Learning Engineer, you will be a pivotal part of our team, focusing on: Experienced in Developing and deploying AI/ML models to improve efficiency and security in payment processes. Optimising the ML life cycle, ensuring seamless integration from development to production. Collaborating with cross-functional More ❯

learning to drive innovation in the fintech space, we want to hear from you! Key Skills & Experience Required: Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle. Experienced in Real time - Data Science Applications is essential Proven experience with CI …/CD, DevOps, and MLOps, especially in supporting and improving production systems Strong familiarity with web server and API designs for ML model deployments. Proficient Python skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks. Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation … a Machine Learning Engineer, you will be a pivotal part of our team, focusing on: Experienced in Developing and deploying AI/ML models to improve efficiency and security in payment processes. Optimising the ML life cycle, ensuring seamless integration from development to production. Collaborating with cross-functional More ❯

looking for a Senior AWS Machine Learning Data Engineer to a cutting-edge team on a contract basis, working on high-impact ML solutions that scale. About the Role: In this role, you'll lead the design and implementation of data pipelines and ML infrastructure on AWS. You … ll collaborate with data scientists, architects, and product teams to deliver production-grade ML systems across a variety of domains — from predictive analytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize … for structured and unstructured data Integrate CI/CD and MLOps best practices for rapid model iteration and deployment Collaborate across teams to align ML engineering efforts with business needs ? What We're Looking For: 5+ years of data engineering experience, with 2+ years in a senior role Deep expertise More ❯

Job Title: AI Machine Learning Research Engineer Duration: 6 Months Location: Remote - With Branch/clients visit when required, London/Windsor Rate: £850 - £900 inside umbrella About the Role: Join our client's Innovation Team as an AI Machine Learning Research Engineer, where you will … with front-end and back-end systems to align with sustainable energy solutions. AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data, optimise systems, and enhance customer experiences. Full-Stack Development: Develop end-to-end solutions, ensuring seamless integration between … create intuitive products. Knowledge Sharing: Act as a mentor within the Innovation Team, sharing insights on emerging AI technologies and fostering a culture of learning and growth. Stakeholder Interaction: Collaborate with stakeholders to refine requirements, gather feedback, and validate the technical aspects of innovations, clearly communicating the capabilities of More ❯

Engineer/Data Scientist in the vibrant heart of London. We are seeking a dynamic individual who can harness the power of data and machine learning technologies to drive innovation and improve processes. Role Overview: Location: London, United Kingdom Type: Contract Requires commuting to Dublin once a month … linear Model): Expertise in using LLM for advanced predictive modelling and analysis. Data Bricks: Proficiency with Databricks platform for big data processing and analytics. Machine Learning: Strong background in developing and deploying machine learning algorithms and models. Python: Excellent coding skills in Python, particularly for data … science and machine learning applications. This role is ideal for someone who thrives in a fast-paced environment and is eager to contribute to cutting-edge projects in artificial intelligence and data science. If you are ready to take on this challenging role, we would love to hear More ❯

Machine Learning Engineer Cardiff (hybrid) Initial 6 Month Contract OUTSIDE IR35 Yolk Recruitment are currently hiring for an ML Engineer on an initial 6 month contract with likely extension. We're working with a growing tech startup based in South Wales that's doing exciting things with data … and AI. They're on the hunt for a Machine Learning Engineer to help scale, optimise, and productionise their ML pipelines and infrastructure. This isn't a research role, it's all about getting models into production, making them scalable, maintainable, and deployable across a cloud-first environment. … submitted at desired rates with the expectation to be on site once per month or as project dictates) Responsibilities: Design, build, and deploy robust ML pipelines in Python Use Azure ML and Azure Web Apps to host and scale models Automate workflows with Airflow and manage infrastructure with Terraform Containerise More ❯

external data sources. Build predictive and prescriptive models through data manipulation and cleaning. Design, manage, and deploy analytical solutions leveraging Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into production systems following the technology SDLC process. Implement features throughout the ML lifecycle-Development, Testing … Data Science, Statistics, Mathematics, Engineering, or a related field. Minimum of 5 years of industry experience as a data scientist, with a focus on ML modelling, Ranking, Recommendations, or Personalization systems. Proven track record of designing and developing scalable and reliable machine learning systems. Strong expertise in ML More ❯

industry are looking for a highly skilled and experienced Security Architect with a strong specialisation in Artificial Intelligence (AI) and Machine Learning (ML) security. The role involves significant influence across the organisation, with customers and peers, regarding the strategic contribution of AI/ML security to business objectives. … experience. Current Security Professional Certification (CISSP, CISM). Proven understanding of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Deep understanding of AI/ML concepts, algorithms, models, regulations and controls. Extensive technical experience in AI/ML Security Architecture Proven threat modelling, risk analysis, and architectural validations In-depth … machine learning mitigation. Comprehensive understanding of ethical AI and governance. Proven AI security tool implementation and management. Extensive experience with AI/ML data privacy regulations (GDPR, CCPA). Strong DevSecOps expertise for AI/ML pipelines. Good strategic risk analysis and problem-solving. Good communication and stakeholder More ❯

I am recruiting for an experienced Security Architect with a strong specialisation in Artificial Intelligence (AI) and Machine Learning (ML) security. This is a hybrid role - 2 days in London, 3 days remote. This role does fall inside IR35 so you will need to work through an umbrella … the duration of the contract. The role involves significant influence across the organisation, with customers and peers, regarding the strategic contribution of AI/ML security to business objectives. You will apply a wide range of complex technical and professional security activities in diverse AI/ML contexts, driving the … development and execution of AI/ML security strategies. A key aspect of the role is contributing to the formulation of AI/ML security policies, standards and strategies, ensuring alignment with overall business and technology strategies. You will have several years experience of strategic cyber security. A current Security More ❯

a team, act as an expert individual contributor for architecting and developing software solutions that are currently in an early research stage. For example Machine Learning Decision Support tools for clinical decision support and population health, software for Clinical Trial Recruitment, and software for Agentic Clinical Decision Support. … of this federated analytics and machine learning platform, following software engineering best practices. Working with both clinical data science, clinical safety, and ML engineering teams, as well as clinical end-users, to ensure that solutions are impactful and safe. Communications: Communicate with engineering and infrastructure staff on a … agents. Provide detailed performance metrics and analysis of NLP systems, including model accuracy, latency, and clinical impact metrics to the Head of AI/ML on a weekly basis. Manage relationships with LLM providers, clinical NLP tool vendors, and academic partners. Department to review NLP system performance and validate clinical More ❯

insights from complex crime and intelligence data, supporting data-driven decision-making in crime prevention, investigations, and public safety. This involves leveraging statistical modelling, machine learning, and other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years of experience … world problems, preferably in a public sector. Good experience of working with large and complex datasets and handling sensitive data. Experience with predictive modelling, machine learning, data visualizations and dashboards. SKILLS ATTRIBUTES Proficiency in statistical modelling and machine learning techniques. This includes skills in regression analysis More ❯

Senior AI/ML Engineer United Kingdom - Fully Remote Day rate - up to £650 a day outside IR35 Duration - 3 months (High possibility for extention) A pioneering UK-based life sciences and healthcare technology company, is on a mission to revolutionize the clinical trial industry through innovative AI-driven solutions. … are focused on addressing critical challenges in patient identification, recruitment, and the effectiveness of therapeutics. Role Overview: They are seeking a Senior AI/ML Engineer with expertise in Large Language Models (LLMs), inference optimization, and clinical fine-tuning. This full-time hybrid position allows you to develop and deploy … learning models to ensure scalability, reliability, and efficiency in both cloud-based and on-premises deployments. Required Qualifications: Strong experience in AI/ML development focusing on LLMs and biomedical NLP. Proficiency in deep learning frameworks (TensorFlow, PyTorch). Experience with MLOps tools and cloud environments (AWS, Azure More ❯

role. Additionally, you will be responsible for automating ETL workflows that feed into machine learning features, enhancing the efficiency and accuracy of ML models. Responsibilities: Develop and maintain SQL models and macros using DBT Collaborate with stakeholders to gather and refine modelling requirements Debug and enhance existing data … models Design and implement ETL/ELT workflows and data pipelines using Azure Data Factory Automate ETL workflows to support machine learning features Apply best practices for data governance, quality, and performance Utilise Azure Databricks and adhere to code-based deployment practices Essential Skills: Over 3 years of More ❯

working on advanced systems that enhance vehicle perception, prediction, tracking, and motion planning capabilities. You’ll play a key role in building and refining machine learning features, as well as developing control and diagnostic strategies for automated driving. Key Responsibilities Design and implement machine learning features … design. Preferred Experience Strong background in autonomous driving technologies. Expertise in Simulink and model-based design. Experience with perception and sensor fusion, AI/ML, or control systems for ADAS or AV platforms. More ❯

a structured approach to firmware design following standards such as RTCA DO-254 or similar. Employ cryptography and anti-tamper techniques. Incorporate Artificial Intelligence, machine learning, and genetic algorithms into designs. Use various electronics test methods and equipment. Collaborate effectively within mixed discipline teams. Job Requirements: Experience with … and Simulink. Understanding of firmware design approaches following standards like RTCA DO-254. Knowledge of cryptography and anti-tamper techniques. Experience with Artificial Intelligence, machine learning, and genetic algorithms. Expertise in electronics test methods and equipment. Good verbal and written communication skills. Educational background in Electronic Engineering, Computer More ❯

orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible If you are a skilled Data More ❯

with large-scale, high-concurrency systems and ensuring high availability. Previous experience managing globally distributed teams, fostering collaboration across time zones. Experience in building machine learning solutions and data-driven software is a plus. You Have a Passion For: Solving complex data challenges and turning raw data into More ❯

development, verification testing and deployment Full right to work in the UK Person Specifications Desirable: Experience in Azure or equivalent cloud platform Knowledge of machine learning and AI Python, Java, development, verification testing and deployment Knowledge of multiple front-end languages and libraries, and UI/UX design More ❯

development, verification testing and deployment Full right to work in the UK Person Specifications Desirable: Experience in Azure or equivalent cloud platform Knowledge of machine learning and AI Python, Java, development, verification testing and deployment Knowledge of multiple front-end languages and libraries, and UI/UX design More ❯

as part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse … in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working with This role would be More ❯

as part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse … in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working with This role would be More ❯

Fluent in English with strong communication and collaboration skills. Preferred Qualifications Experience with big data processing frameworks like Apache Flink or Spark. Familiarity with machine learning models and AI-driven analytics. Understanding of front-end and mobile app interactions with backend services. Expertise in cloud-native application development More ❯

background in Python development for data engineering Experience working with cloud data warehouse solutions Working knowledge of cloud-based solutions Experience building and deploying machine learning models in production Strong proficiency in object-oriented languages and scripting languages Strong proficiency in data pipeline and workflow management tools Strong More ❯

on knowledge of SDLC, SRE, and development tools (Java, Python, etc.) - Track record in complex enterprise/insurance environments Desirable: - GCP certifications - Experience with ML/AI tooling in GCP - Background in finance or insurance - Agile/iterative delivery experience More ❯

technical breadth and depth and great client engagement skills *Knowledge or appreciation of some the listed technologies; Foreman; Puppet; Satellite; Ansible; Nagios; AI/ML; Big Data; Elastic Search; IaaS; PaaS; HPC; DevOps; AWS; Azure; Kubernetes, Docker, OpenShift; Linux based applications Due to the nature and urgency of this post More ❯