1,351 to 1,375 of 10,379 Machine Learning Jobs in the UK

and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate … will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into … and to grow technical research areas of interest to you. The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image More ❯

of integration flows. As appropriate, evaluate and integrate generative AI capabilities (e.g., large language models advanced NLP toolkits) into our integration stack. You will stay current with AI/ML trends (e.g., transformer architectures, Hugging Face, Vertex AI on GCP, Azure Cognitive Services, AWS Sagemaker) and identify opportunities to incorporate new technology for improved efficiency and innovation. You will work … API Gateways (Kong, Apigee, AWS API Gateway) and ESB solutions. Familiarity with generative AI approaches like LLM-based chatbots or transformer-based AI solutions. You will have an understanding ML frameworks (TensorFlow, PyTorch) and how they can be utilised in data pipelines. Exceptional ability to communicate technical concepts to C-level executives, technical staff, and non-technical stakeholders. You will More ❯

in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) A passion for social impact and a drive to help us succeed Bonus points if you have: Experience working with public sector clients Familiarity with privacy, security, and information governance … week ago Data Analyst, Power BI | Investment Management - Clearing | London, Hybrid | up to £100k + Bonus, Benefits London, England, United Kingdom 1 month ago Data Science/Data Analytics, ML Consultant | International Consultancy, Fintech, | Python, SQL, GCP, | 2 Days Hybrid, Up to £70,000 +Benefits London, England, United Kingdom 1 week ago City Of London, England, United Kingdom £500.00-£597.00 More ❯

Participate in organisation-wide projects and steering committees while devising strategies for containerisation, orchestration, and API management. Design robust data replication architectures and implement methods to integrate AI and ML into platform and backend solutions in line with responsible AI principles. Collaborate with the data governance team to enforce a comprehensive data catalogue, maintain detailed dataset descriptions, and ensure alignment … manage complex and dynamic projects. Desirable Criteria Experience working with advanced containerisation and orchestration tools such as Azure Container Instances or Kubernetes. Prior experience designing and implementing AI/ML driven solutions within data platforms. Relevant certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or equivalent industry credentials. Advanced academic qualifications or industry accolades that complement practical experience More ❯

the existing infrastructure. Identify and address potential gaps or risks in the tech stack related to agentic adoption. Technology Strategy: Advise on selection of technologies, programming languages, AI/ML models, orchestration engines, and deployment platforms. Influence the long-term direction of RDS's technical architecture in light of agentic advancements and market trends. Talent and Team Enablement: Mentor and … enterprise architecture roles. Demonstrated experience in designing and implementing complex distributed systems, ideally with exposure to agent-based architectures or autonomous systems. Proven track record working with AI/ML pipelines, microservices, and cloud-native platforms. Experience collaborating with cross-functional teams across product, engineering, and enterprise architecture. Technical Skills: Deep understanding of enterprise architecture frameworks (e.g., TOGAF, Zachman). More ❯

mission is to build technology platform enablers that accelerate value delivery with higher quality whilst reducing cognitive load for our customer-facing data & AI engineering teams. About our Data & ML team Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for … the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we’re expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the More ❯

the existing infrastructure. Identify and address potential gaps or risks in the tech stack related to agentic adoption. Technology Strategy: Advise on selection of technologies, programming languages, AI/ML models, orchestration engines, and deployment platforms. Influence the long-term direction of RDS’s technical architecture in light of agentic advancements and market trends. Talent and Team Enablement: Mentor and … enterprise architecture roles. Demonstrated experience in designing and implementing complex distributed systems, ideally with exposure to agent-based architectures or autonomous systems. Proven track record working with AI/ML pipelines, microservices, and cloud-native platforms. Experience collaborating with cross-functional teams across product, engineering, and enterprise architecture. Technical Skills: Deep understanding of enterprise architecture frameworks (e.g., TOGAF, Zachman). More ❯

advanced technologies to seamlessly deliver to regulators to maintain or boost business momentum. If you are passionate about tackling intricate engineering challenges using cutting-edge technologies, including AI and ML, join us on an exciting transformation journey in regulatory reporting within the Payments sector, as we evolve into a global utility that fosters expansion and sustainment of business functions. This … technology teams Champions the firm’s culture of diversity, equity, inclusion, and respect Possesses deep expertise with cloud implementations and security controls Strives to adopt newer technologies including AI-ML Demonstrates expertise with implementing reliable platforms with triple or more 9s Maintains problem solving mind-set Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and More ❯

more advanced technologies to seamlessly deliver to regulators to maintain or boost business momentum. If you passionate about tackling intricate engineering challenges using cutting-edge technologies, including AI and ML, join us on an exciting transformation journey in regulatory reporting within the Payments sector, as we evolve into a global utility that fosters expansion and sustainment of business functions. This … technology teams Champions the firm's culture of diversity, equity, inclusion, and respect Possesses deep expertise with cloud implementations and security controls Strives to adopt newer technologies including AI-ML Demonstrates expertise with implementing reliable platforms with triple or more 9s Maintains problem solving mind-set Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and More ❯

and strategies, review systems implementation, and advise on cybersecurity processes and systems quality. Digital Transformation and Project Management: Lead digital transformation initiatives, leveraging cloud technologies, microservices, and AI/ML frameworks to enhance operational efficiency and customer experience. Manage and deliver complex technology projects on time and within budget, ensuring high-quality outcomes. Data Management and Analytics: Implement data governance … the shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML/AI frameworks, NoSQL, blockchain, and semantic technologies. Preferred qualifications, capabilities and skills: Strong problem-solving skills and the ability to resolve complex technology and business issues. Excellent interpersonal, written More ❯

and strategies, review systems implementation, and advise on cybersecurity processes and systems quality. Digital Transformation and Project Management: Lead digital transformation initiatives, leveraging cloud technologies, microservices, and AI/ML frameworks to enhance operational efficiency and customer experience. Manage and deliver complex technology projects on time and within budget, ensuring high-quality outcomes. Data Management and Analytics: Implement data governance … the shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML/AI frameworks, NoSQL, blockchain, and semantic technologies. Preferred qualifications, capabilities and skills: Strong problem-solving skills and the ability to resolve complex technology and business issues. Excellent interpersonal, written More ❯

design. Track record as a Solution Architect for SaaS or cloud-agnostic platforms. Experience with distributed systems, API design, and multi-tenant architecture. Familiar with data architecture, AI/ML integration, and observability tools. Certifications (): AWS Solutions Architect, Google Cloud Architect, Azure Solutions Architect Expert. If you are interested in the above position, please apply below! #J-18808-Ljbffr More ❯

data-led. Initially, the role will focus on transforming the existing data warehouse into a GCP based analytics platform, integrating system and client APIs, and preparing for AI/ML adoption. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists and analysts to optimise data usage. Monitor, troubleshoot, and optimise data infrastructure for More ❯

we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at … Scale. As an ML Engineer, you’ll work with clients to train ML models to satisfy their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on … how to apply ML to the forefront of enterprise data. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers. Work with product and research teams More ❯

to www.ascendion.com With Ascendion (www.ascendion.com), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone More ❯

to www.ascendion.com With Ascendion (www.ascendion.com), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone More ❯

operations. Experience with search and analytics engines/big data tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms, including model training, testing, and deployment. Hands-on project experience in network automation; experience with AWX is a plus. Understanding of Git version control and Agile development methodologies. Strong More ❯

a sole UK national – SC clearance required Desirable extras: Experience with high-assurance or safety-critical software Exposure to GDS digital service standards Familiarity with big data, ETL, or ML/AI pipelines Background in energy, defence, embedded or industrial software a bonus Why this role? You’ll have real influence on how key infrastructure software is built and delivered More ❯

role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Preferred Skills: Experience in AI red teaming, adversarial ML, LLM security testing Deep understanding of networking protocols, OS security, and web application security Knowledge of OWASP Top Ten, MITRE ATT&CK, and other security frameworks Experience with web security More ❯

with asynchronous programming (e.g., asyncio, Celery). * Exposure to message brokers like RabbitMQ, Kafka. * Understanding of GraphQL, gRPC, or WebSockets. * Previous experience in architecting data-intensive or AI/ML-based systems. * Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work, If you are looking More ❯

available and enthusiasm to take on a challenge. Preferred Skills: Hands-on experience with penetration testing tools (Metasploit, Burp Suite, Nessus, Nmap). Experience in AI red teaming, adversarial ML, LLM security testing. Knowledge of OWASP Top Ten, MITRE ATT&CK, and other security frameworks. Relevant security certifications (OSCP, CEH, CISSP, OSWE, API Security Architect). Experience in automating security More ❯

Spark, and SQL. Proven experience with big data processing and scalable system design. Strong knowledge of CI/CD, Agile frameworks, and cloud platforms (AWS). Bonus: Familiarity with ML techniques (regression, clustering) and retail data. Location: Hybrid model at the office located in Hammersmith Frequency: The employee must be available for up to 20-25% office presence More ❯

available and enthusiasm to take on a challenge. Preferred Skills: Hands-on experience with penetration testing tools (Metasploit, Burp Suite, Nessus, Nmap). Experience in AI red teaming, adversarial ML, LLM security testing. Knowledge of OWASP Top Ten, MITRE ATT&CK, and other security frameworks. Relevant security certifications (OSCP, CEH, CISSP, OSWE, API Security Architect). Experience in automating security More ❯

available and enthusiasm to take on a challenge. Preferred Skills: Hands-on experience with penetration testing tools (Metasploit, Burp Suite, Nessus, Nmap). Experience in AI red teaming, adversarial ML, LLM security testing. Knowledge of OWASP Top Ten, MITRE ATT&CK, and other security frameworks. Relevant security certifications (OSCP, CEH, CISSP, OSWE, API Security Architect). Experience in automating security More ❯

enhancements. As regulations evolve, advanced technologies are crucial to maintain or boost business momentum. If you're passionate about tackling engineering challenges with cutting-edge technologies including AI and ML, join us in transforming regulatory reporting within the Payments sector. This role is based in the dynamic EMEA region, requiring a blend of business understanding across jurisdictions and sustainable technology More ❯