1 to 25 of 63 Machine Learning Jobs in Bristol

diagnostics to save lives. Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, theyre solving incredibly complex problems at the intersection of science and software. What youll be doing: Following a successful … supports a life-saving platform. Youll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily … work with. This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models, youll be the go-to person. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might mean More ❯

the engineering solution. Skills, knowledge and expertise We seek candidates with a range of skills and experience; please apply even if you don't meet all criteria. Enthusiasm for learning and self-development Proficiency in Git (including Github Actions) and understanding of branch strategies Experience gathering and meeting requirements from clients and users on data projects Strong experience in … Docker and virtual environments in CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require More ❯

strong database skills (SQL, NoSQL, and Parquet) for efficient data storage and management. What we're looking for from you: Proficiency in Data Science techniques, including statistical models and ML algorithms. Expertise in NLP, with a keen understanding of LLM and RAG technologies. Strong development capabilities, particularly in Python. Experience with data exchange, processing, and storage frameworks (ETL, ESB, API More ❯

home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions. ML Ops Engineer Bristol Thales Group's global CortAIx initiative already employs over 600 AI and data specialists, being the first patent applicant in AI for critical systems in Europe with … AI innovation, bringing together cutting-edge technology, talent, and research to deliver AI solutions that are ethical, transparent, explainable, and operationally effective. We are actively recruiting for an experienced ML Ops Engineer to work with our existing CortAIx team at our site in Bristol Primary Purpose of the Role: To drive the evolution and deployment of Data and AI capabilities … businesses and to our customers in order to increase growth in orders and increased customer satisfaction. As part of a newly established software development team, the Factory AI/ML Ops Engineer will work with both the development team and the end user in Thales UK businesses. Supporting the Thales UK Digital and Data strategy the Software support engineer will More ❯

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Developing real-time data processing systems Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We offer: A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications Regular and frequent promotion and progression opportunities to ensure you can drive and develop your … the UK for the last 10 years. You must be able to hold or gain a UK government security clearance. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting … continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with More ❯

happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services, and ensuring the integration of ML models into the … Integrate the platform with Snowflake for data storage and retrieval. Collaborate with cross-functional teams to deliver the platform in an agile manner. Ensure the platform supports offline analytics, ML models, lookup tables, and pricing actions. Conduct load, end-to-end, and performance testing. Produce pipeline code for running ML Ops jobs and create an Azure DevOps (GitHub) process for … source control and deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta) Lake Architecture. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Strong problem-solving More ❯

Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Lead will be responsible for overseeing the development and deployment of the ML Ops platform for Project Pegasus. This role involves leading a cross-functional team to ensure the successful implementation and integration of ML models into the live pricing environment. The ML … Ops Lead will work closely with data scientists, data engineers, and external consultants to deliver a robust and scalable ML platform. What you'll be responsible for: Lead the development and deployment of the ML Ops platform. Oversee the design, build, and testing of API services in the development environment. Ensure the platform supports offline analytics, ML models, lookup tables … Manage the integration of the platform with RADAR and other systems. Ensure Code is production ready and follow the SDLC best practices. What you'll need: Proven experience in ML Ops engineering, with a focus on Azure and Databricks. Strong knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker More ❯

bring solutions to life Helping upskill non-tech stakeholders across the Tax team Digging into processes, spotting inefficiencies, and automating the boring stuff Keeping up with emerging tech (AI, ML, RPA, etc.) and testing what actually works ?? What We're Looking For Proven experience with Python and SQL (data wrangling, automation, analytics) Understanding of tax or finance processes OR experience … you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You More ❯

our analytical capabilities and contribute to the exciting field of cyber catastrophe modelling. Key Responsibilities: Model Development: Contribute to model testing, diagnostics, and release workflows by creating best-practise ML and testing frameworks. Cross-functional Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing More ❯

mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving More ❯

research centers, and leaders of industry, complemented by six associated partners. The consortium spans over eight European countries, combines experts in five research disciplines - photonics, electronics, nonlinear dynamics, and machine learning -, and has a strong focus on telecom, sensing, geolocation, space, and biomedical applications. Within HPE, this role will be supported by and collaborate with an international multi … disciplinary team of machine learning experts, experimentalists, fabrication experts, software developers, and computer scientists. Qualifications and Education Requirements Master's degree in Physics, Photonics, Electrical Engineering, Applied Mathematics, Computer Science, or equivalent. The ideal candidate is deeply interested and enthusiastic to perform research in the emerging field of optical and neuromorphic computing, specifically from the holistic point of … design. Excellent academic record. Team player, self-motivated and independent worker. Strong English writing and verbal communication skills. Preferred Skills Proficiency in Python. Expertise in one of the standard machine learning frameworks, such as PyTorch, JAX, or TensorFlow. Broad knowledge of and practical experience with modern machine learning and optimization techniques. Excellent analytical, numerical, and modeling More ❯

AI and data projects in a cloud environment (preferably Azure). Strong hands-on development skills. Our main application stack is based on .Net and C# Deep understanding of machine learning, data pipelines, and MLOps practices. Experience with Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval More ❯

teams, ensuring alignment on vision, scope, and constraints. • Designing and deploying predictive models and data-driven solutions From regression and forecasting to optimisation models, you'll apply statistical and machine learning methods to drive measurable business impact. • Applying strong domain knowledge to shape problem framing and solution design With your background in business analysis, you'll help define … A collaborative, experienced team to support you every step of the way. • Exposure to a modern cloud and AI stack across Snowflake, AWS, and beyond. • A culture of continuous learning, autonomy, and results-driven thinking. • Flexible work, with a distributed team across the UK, India, and South Africa. More ❯

and customer centric financial services company. In this role, you’ll drive the evolution and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. More ❯

our Agile development team. In this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. More ❯

our Agile development team. In this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. More ❯

transportation. What Makes Us Different: Purpose:you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You caninspirechange. Collaboration:having flexibilityto do your job More ❯

environments such as Python, and modern compiled languages like Go or Rust. At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline. Knowledge of AI/ML frameworks such as TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment. Your personal skills … science). Experience working on EU projects. Experience working on HPC applications and/or Cloud applications. Experience working with research consortia. Additional Skills: Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design More ❯

like data centric application coupling, secure computing, monitoring and operational data analytics, mathematical optimisation, containers, compilers, or application optimisation. You should have: A good working knowledge of AI/ML frameworks, at least TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment. At least a … science). Experience working on EU projects. Experience working on HPC applications and/or Cloud applications. Experience working with research consortia. Additional Skills: Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design More ❯

happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

applyingadvanced software engineering skills to build technologies that support our drugdiscovery efforts. Your key responsibilities include development of training data workflows for the training of machine-learning (ML) models and scalable deployment of machine-learning technologies, and creation, testing and maintenance of software systems.This role is remote, with preference for candidates on the US East Coast … or in the UK. KEY RESPONSIBILITIES Work in a cross-functional team that spans the full domain of drug discovery. Provide software development support to the ML model life cycle, working in the design and development of: Efficient and maintainable data pipelines Benchmarking systems of models Deployments to AWS and use of Kubernetes (in collaboration with our cloud engineers) Collaborate … and maintenance of software systems Code review for pull requests in adjoining areas Maintenance of and mentorship in software best practices, including version control, testing and documentation Collaboration with ML scientists and others in the company to understand requirements for deployed models Clear oral communication of work in meetings and company demos, at a level suited to the audience QUALIFICATIONS More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … the team in meeting ad hoc requests for customer insights from the rest of the business. About You About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯