151 to 175 of 176 Machine Learning Jobs in the Thames Valley

Engineering, Artificial Intelligence, or a related field. Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications. Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks. Hands‐on experience in developing applications utilizing Large Language Models ...

Engineering, Artificial Intelligence, or a related field. Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications. Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks. Hands-on experience in developing applications utilizing Large Language Models ...

scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations … familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams A genuine curiosity about AI and a habit of continuous learning — this space moves fast, and the role requires staying current Nice to Have Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI platform features ...

Will Do Build, test, and ship features for products in active use by energy companies worldwide. Debug and fix defects in production systems, learning how large‐scale applications behave under real conditions. Write and maintain automated tests as part of the team’s standard delivery workflow. Participate in code … data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real‐time systems, large‐scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates from ...

Platform’s Core platform - the services and infrastructure that let us deploy to a multitude of public cloud providers and that powers many ML and LLM powered features. We give every other engineering team a reliable base to build on, and we own the software delivery lifecycle … This is an exciting opportunity to grow professionally while contributing to a mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover ...

cloud infrastructure. Proficiency in Python and/or another general‐purpose language, with strong testing discipline Hands‐on experience building with LLMs or other ML systems (prompt engineering, fine‐tuning, retrieval, model integration), with an understanding of their failure modes and tradeoffs. Proven experience designing and leading evaluation …/ML systems: defining metrics and methodology, building evaluation pipelines, managing test sets, and reasoning rigorously about model quality and regressions. Strong command of evaluation concepts — various types of metrics (accuracy, precision, recall, F1), the distinction and tradeoffs between automated and human evaluation, statistical significance, and the limits of each ...

cloud infrastructure. Proficiency in Python and/or another general-purpose language, with strong testing discipline Hands-on experience building with LLMs or other ML systems (prompt engineering, fine-tuning, retrieval, model integration), with an understanding of their failure modes and tradeoffs. Proven experience designing and leading evaluation …/ML systems: defining metrics and methodology, building evaluation pipelines, managing test sets, and reasoning rigorously about model quality and regressions. Strong command of evaluation concepts - various types of metrics (accuracy, precision, recall, F1), the distinction and tradeoffs between automated and human evaluation, statistical significance, and the limits of each ...

just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture … Experience with cloud infrastructure (AWS/GCP/Azure) Experience building APIs and working with distributed systems Systems thinking: Experience designing data pipelines or ML infrastructure Ability to evaluate end-to-end workflow performance Familiarity with AI/ML lifecycle (training to inference to evaluation to feedback) Product judgement: Ability ...

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 … environment, preferably Microsoft SharePoint or ECM/EFSS/Modern Content Services landscape, with an interest in the application of new products, AI/ML capabilities, and Microsoft Search. Location Reading, UK Department Software Development Experience required 2+ years of experience Key Responsibilities Collaborate with Clients & Partners on best practice ...

This major international organisation is seeking an AI/ML Security Architect to support the secure adoption of Generative and Agentic AI across their complex enterprise environment. As AI/ML Security Architect, you’ll provide security architecture and design authority across AI/ML initiatives, working closely with engineering ...

company‐wide technology changes. Experience operating in a shared resource model, balancing BAU and strategic delivery workloads at scale. Exposure to AI/ML concepts and how they change project governance, risk management, and team capabilities. Agile/Scrum certification (SAFe, AgilePM, Kanban, or equivalent). ITIL Foundation or above. … Portfolios) certification or knowledge of portfolio governance frameworks. Formal training or demonstrated fluency in organisational change management/transformation leadership. Understanding of AI/ML concepts and their impact on delivery and team capabilities (no deep technical depth required; intellectual curiosity and fluency are sufficient). Our Values ...

Halliburton's Landmark Software & Services in Abingdon is seeking a geoscientist with strong programming and ML skills to develop novel subsurface solutions. You will lead cutting-edge geoscience research and collaborate with geoscientists, data scientists and product teams to turn ideas into practical prototypes. The role requires … equivalent, 10 years of experience, deep geoscience expertise, and proficiency in Python and ML libraries. #J-18808-Ljbffr ...

just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture … Strong business acumen, with the ability to translate operational challenges into AI-driven opportunities; P/L management experience. Technical fluency in AI/ML concepts, including predictive analytics and computer vision. Proven consulting and commercial experience, managing enterprise clients and complex engagements. Executive presence and communication skills, with ...

with subsurface datasets (e.g., wireline, seismic, biostratigraphy, geochemistry, rock properties, lithology). Strong Python programming skills. Experience with Relational Databases. Familiarity of AI/ML and its potential to support geoscience interpretation. Experience with ETL pipelines and data cleaning. Excellent communication and teamwork skills in a collaborative R&D environment. … closely with colleagues from multiple disciplines to refine and enhance workflows – particularly supporting customer workflows and customer data types. Stay current with AI/ML technology and geoscience advancements to drive innovation. Contribute to customer presentations, particularly regarding customer data and their associated workflows. Desirable Experience Awareness of data analysis ...

computer vision systems for the transformation pipeline, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success. Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer … phenotyping and automation data in high‐throughput transformation pipelines. Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure. Co‐develop and manage project plans, timelines, and reporting frameworks to ensure delivery of technical milestones and progression towards ...

Computer Vision, you'll turn complex scientific imagery into quantitative insights that help us build better quantum processors. Combining classical image processing with deep learning, you'll develop end-to-end analysis capabilities that transform microscopy and metrology data into reliable measurements for process monitoring, scientific investigation and decision … Experience applying deep learning to computer vision problems, such as classification, detection or semantic/instance segmentation. Strong Python-based scientific computing and ML experience using tools such as NumPy, SciPy, OpenCV/Scikit-image, PyTorch/TensorFlow and Pandas. Experience developing maintainable, tested and reusable Python software ...

opportunity with significant room to shape what we build. You’ll turn customer needs into a focused roadmap, lead discovery, and partner with engineering, ML, design, and clinical teams to bring new products to market. You’ll also work closely with business development and sales to connect product decisions … data needs, buying processes, and willingness to pay. Translate what you learn into clear product decisions. Build and ship new products. Work with engineering, ML, design, and clinical teams to define requirements, scope initial releases, and deliver useful, trustworthy experiences. Turn early engagements into repeatable products. Distinguish customer‐specific requests ...

sensitive research environments. Partner with Research, Data, and Applied teams to forecast capacity and cost for GPU and storage needs, setting quotas and streamlining ML experimentation pipelines. Essential Skills, Qualifications & Experience: Proven experience leading the design, build, and operation of high-performance ML compute clusters at scale A proactive, autonomous … approach to systems design and the proven ability and desire to ideate, co-create and implementoptimalsolutions Exposure to migrating or transforming ML infrastructure from traditional schedulers to modern, containerised systems Expertisewith high-throughput storage systems for ML/HPC workloads Expert-level understanding of GPU architecture, high-speed networking ...

seeking a Data Science Leader for AI for Science, Research Intelligence & Knowledge Discovery. You will define the AI and data science strategy across ML, NLP, search and generative AI to deliver scalable knowledge-discovery solutions. You will mentor high-performing teams, drive cross-functional collaboration, and influence senior stakeholders ...

Machine project at the Ian Ramsey Centre for Science and Religion, University of Oxford, seeks a postdoctoral-level researcher to handle technical aspects of experimental work … with large language models and AI tools. You will contribute to Workstream 1 and support Workstream 2 as a technical expert, applying Python and ML frameworks to deploy and test local models, interpret results, and advance the theology of AI. #J-18808-Ljbffr ...

Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Role/Responsibilities: Must have Snowflake &/Snowflake ML experience. Fractal Data Engineer roles required with the necessary Snowflake experience. Data Build Tool (DBT) experience would be advantageous. To manage the build of nominated …/resolution. Role/Skills of the Snowflake Data Engineer for Programme Migrations Ideally competent to build data models/data pipelines with Snowflake ML, with input from the respective Data Scientists. Be able to leverage Snowflake frameworks & workflows to construct scalable models. Work collaboratively with the Data Scientists ...

Data Practice Lead | £120-140k | Build a Standalone Data Practice | London G.Digital has exclusively partnered with a world-class technology consultancy as they establish a brand-new Data Practice. Known for delivering bespoke software ...

Ellison Institute, LLC is seeking an experienced Senior ML infrastructure engineer to build and operate scalable GPU training and inference clusters in a secure, observable environment. You will design high-throughput data paths and manage lifecycle of compute and storage resources to accelerate research outcomes. Ideal candidates bring hands … experience with containerised ML pipelines, GPUs, and modern CI/CD practices. #J-18808-Ljbffr ...

subsurface modelling. Under supervision, you will translate geological concepts into robust computational workflows, work with data scientists and product teams, and apply AI/ML to automate or enhance subsurface interpretation while maintaining geological realism. #J-18808-Ljbffr ...

drive data-driven outcomes across the organization. The successful candidate will work closely with data engineers and stakeholders, applying Python/R, NLP, and ML concepts to #J-18808-Ljbffr ...