26 to 50 of 69 Machine Learning Jobs in Berkshire

best practices to support the end-to-end machine learning lifecycle. Collaborate with Data Engineering and Data Science teams to operationalize ML models through CI/CD, automated testing, deployment, and monitoring capabilities. Ensure robust security, compliance, and governance controls across the platform, including access management, data protection ...

Troubleshoot issues and improve reliability and accuracy. Required Experience Commercial software development experience. Strong skills in Python and/or JavaScript. Experience with AI, machine learning or generative AI applications Knowledge of APIs, databases and cloud platforms. Familiarity with Git, testing and CI/CD practices. Key Skills ...

Requirements include 2+ years in software engineering, strong Python/Go skills, cloud experience (AWS/GCP/Azure), and familiarity with AI/ML lifecycles. Role involves client-facing work and travel to client sites. #J-18808-Ljbffr ...

environment. Experience working in distributed, international engineering organisations. Track record of technical leadership, mentoring or leading cross-team engineering initiatives. Familiarity with AI/ML frameworks and tools used in software development environments. What Success Looks Like You are an engineer first: someone who can go deep in code, make ...

guidance. Preferred Qualifications CIPM, CIPP/E, AIGP or similar privacy, governance, risk or security certifications. Experience working with cloud technologies, cloud security, AI, machine learning or data analytics environments. Life at RWS Life at RWS - If you like the idea of working with smart people ...

over 25 countries. We are a specialist digital transformation solutions provider, focused on Microsoft 365 and other latest technologies such as AI/Machine Learning. Our customers include UK, USA, UAE, and Australian government departments and enterprises in various domains including space, financial services, engineering, research, legal, manufacturing ...

Experience VMware NSX, vSAN, and Software-Defined Data Centre technologies. Edge computing and distributed infrastructure architectures. Green Data Centre and sustainability initiatives. AI/ML, GPU, and high performance computing environments. Advanced observability and AIOps platforms such as Dynatrace or AppDynamics. FinOps and infrastructure cost optimisation experience. DevSecOps integration ...

product line management experience* Application of telecom data modeling, schema design, graph or ontology structures, and enterprise data management tools* Application of AI and ML data requirements including feature stores, training data pipelines, data lineage, and model grounding techniques for GenAI or LLM use cases* Background in OSS environments including ...

connectivity and data residency for network intelligence platforms. Migration and coexistence strategies for legacy tools and platforms. Standard platform capabilities (data pipelines, AI/ML, automation, observability, security) Architectural principles and target architecture for MSN tools and platforms Optimizes MSN operating models for cloud-based delivery, ensuring cloud investments drive ...

systematic equities trading team. The role sits at the intersection of machine learning, quantitative research and systematic trading, developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical … deep learning models, improve distributed computing and large-scale parameter searches, and build #J-18808-Ljbffr ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

value. Track emerging capability and translate what matters into practical opportunities for TTC. About You Essential A strong track record delivering AI, Generative AI, machine learning or AI-enabled transformation in a complex organisation. Solid understanding of LLMs, Generative AI architectures and modern AI ecosystems. Experience taking ...

process. Partner with engineering and architecture on performance, scalability and shopping efficiency, including caching, filtering and intelligent request optimisation. Explore and apply AI and machine learning to improve relevance, ranking and personalisation of search results. Work with airline and content partners to understand new capabilities and translate them ...

MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/CD, testing, deployment and monitoring. The position is hybrid, with 2-3 days onsite in London (Covent Garden) or Milton Keynes. ...

analytical foundations that power business insights and AI-enabled decision-making. You will collaborate with data engineering, analytics enablement, visualization, and AI/ML teams to deliver reliable datasets, governed data, and production-ready data products that drive self-service #J-18808-Ljbffr ...

over 25 countries. We are a specialist digital transformation solutions provider, focused on Microsoft 365 and other latest technologies such as AI/Machine Learning. Our customers include UK, USA, UAE, and Australian government departments and enterprises in various domains including space, financial services, engineering, research, legal, manufacturing ...

user journeys and experiences across greenfield initiatives. Introduce and embed product thinking across the wider business. Work on real software applications, including AI and machine learning products, CRM, APIs and SaaS platforms. Help establish and mature a product function that is still evolving. Influence product processes, ways … working within Agile product and engineering teams. Experience working with APIs, SaaS products, CRM platforms or other technology-led products. Exposure to AI/ML products or an interest in working within AI-enabled environments. Experience working with third-party technology vendors or partners. Confidence defining KPIs and measuring product ...

will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically in validating AI and machine learning applications within financial services You possess a deep understanding of financial risks and can articulate how AI impacts and mitigates these challenges ...

Role Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. Work closely with client teams on the ground to embed solutions directly into operations. Guide multi‐disciplinary teams ...

algorithmic benchmarking. Experience investigating crosstalk, drift, coherent errors or signal-chain distortion. Experience transferring experimental methods into repeatable engineering or operational workflows. Knowledge of machine learning or numerical optimisation techniques applied to physical systems. Familiarity with control electronics, waveform generation and microwave signal chains. Experience with quantum software ...

reduced cost-to-serve and improved productivity. Deep understanding of software implementation delivery, integration architecture, and data‐driven performance management. Experience with generative AI, machine learning, or automation platforms (e.g. RPA, workflow orchestration, low‐code tools).Experience building and leading high‐performing, globally distributed specialist teams. Strong experience ...

Manager to strengthen governance and delivery across client projects. The role blends hybrid work from home with periodic Reading office attendance, supporting AI/ML and Microsoft 365 migrations along with cross-functional delivery teams. You will lead relationships with clients, manage budgets, and ensure high-quality outcomes across multiple ...

Barclay Simpson is seeking an AI/ML Security Architect to lead the secure adoption of Generative and Agentic AI across a large enterprise. You will drive security architecture, enforce secure-by-design patterns and collaborate with engineering, cloud and security teams on LLMs, RAG, AI agents and data flows. ...

PaaS Experience of advising in relation to global data protection issues Lead compliance management efforts related to privacy and consumer protection laws. AI/ML Regulatory Strategy IP Portfolio Management Person UK Qualified Solicitor with senior level/lead experience. (Head of legal/Director) International experience gained ...