17 of 17 Remote Machine Learning Jobs in Gloucestershire

in the UK however we have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities for our customers. We therefore … creativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture … experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office/3 days home) 25 days annual leave + bank holidays (increasing 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 ❯

for data governance queries and escalations across the organisation. Collaborate with IT, legal, compliance, and business functions to embed governance into technology and change programmes (e.g. EDW, AI/ML). Support the data strategy by promoting a culture of data accountability, literacy, and stewardship. What you'll need: Degree in Data Management, Information Governance, Information Systems, or a related More ❯

team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview: We are looking for an independent, dedicated Senior or Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to … redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you’ll be doing: Develop and improve … the team in core R&D work with other teams within Sony Interactive Entertainment What we’re looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python More ❯

leading software house in Bristol. The role will not only have responsibility for designing, building & optimising data driven solutions, but will also be part of the team incorporating AI & Machine Learning into the product suite. It would suit a SQL Developer with an in-depth knowledge of SQL databases and a broad understand across data, including storage, access … database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a hybrid working policy and you would normally need to be in the office a couple of days a week. … Some of the other benefits of the role include: Bonus scheme - up to 10% Ongoing learning and development Flexible work patterns Death in service (4x salary) Private healthcare 26 days holiday (plus banks) Holiday trading (buy/sell up to 3 extra days) Regular social events More ❯

remote working and robust cloud infrastructure. Quickest way to enter a lucrative career within Cloud Computing. Option to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯