1 to 25 of 61 Machine Learning Jobs in the Thames Valley

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

used across entertainment, engineering, and scientific applications. This role focuses on maximising GPU-based processing performance, including real-time data handling, image processing, and machine learning workloads. You will join a collaborative software engineering team and work closely with machine learning and research specialists … implement high-performance algorithms using CUDA Manage host–device interactions, including memory management, data transfer optimisation, and multi-GPU support Deploy and optimise machine learning models using TensorRT within C++ applications Profile and optimise GPU workloads using NVIDIA Nsight Systems and Nsight Compute Configure GPU hardware and software ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

models using ERStudio Integration & Messaging Implement message-oriented data movement and ensure robust API design and access for data services Data Analytics & AI/ML Utilize AzureML for advanced analytics and machine learning workflows Explore Generative AI and Agentic AI for innovative data solutions Data Virtualization & Streaming Enable … Development Build and optimize workflows using Matillion, Alteryx, and Qlik Visualization & Reporting Develop dashboards and reports using Power BI Innovation Drive adoption of Machine Learning, Generative AI, and Agentic AI in enterprise data strategies Required Skills & Qualifications Strong experience with data platforms (Fabric, Snowflake, Databricks, MongoDB, RDBMS) Hands ...

developing critical technology that will save lives and ensure our society remains safe in an ever-changing world. Key responsibilities: Designing and optimising ML models to enhance secure communications and signal processing on a range of edge devices. Implementing low-latency, high-performance deep learning pipelines on hardware accelerators … embedded C/C++ for model integration with an understanding of low-latency and low-power constraints in real-time systems. Awareness of adversarial ML and model robustness techniques Understanding of secure-by-design principles and trusted execution concepts for AI on edge devices. Keenness to work on meaningful problems ...

build predictive models, and partner with cross-functional stakeholders to drive strategic decision-making. You will work with large datasets, apply advanced statistical and machine learning techniques, and help shape data-driven initiatives across the organization. Key Responsibilities Collect, clean, and analyze structured and unstructured datasets from multiple … sources Develop and deploy predictive models and machine learning algorithms Design and conduct experiments (A/B testing, hypothesis testing) to inform product and business decisions Build data pipelines and automate workflows in collaboration with data engineering teams Communicate insights and recommendations clearly to technical and non-technical ...

Your new role As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine-learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables … growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance. Key responsibilities include: Developing and maintaining statistical and ML models to analyse machine and material performance data Building and refining data pipelines to post-process experimental and operational data Collecting experimental data ...

Software Engineer (C#, C++ or Python, ML, STEM Degree)Oxford - 3-4 days per week in office.£45000 - £65000 + Package. - Must have a Computing/STEM Degree (2:1 or higher).- Can work in their Oxford head office 3-4 days week. Your new company … must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Your new role In this role you'll be tackling engineering challenges that most organisations simply can't touch ...

recruit an Information Scientist who will play a key role in advancing AI-enabled content analytics. In this position, you will apply NLP, machine learning, and information science methodologies to extract insights from biomedical literature, enhance R&D decision-making, and optimise scientific workflows. This is an exciting … implement AI-driven workflows for literature mining, summarisation, and trend analysis. Maintain and develop external information endpoints aligned with FAIR data principles. Apply machine learning and LLMs to improve information retrieval and automate content classification. Collaborate with cross-functional teams and act as a subject matter expert ...

coding genome to understand the root causes of human disease and enable new therapeutic targets. Combining high-throughput functional genomics with advanced computation and machine learning, the company’s platform integrates vast, complex datasets to drive precision drug discovery. As part of a cross-disciplinary Computational team … scale functional genomics data from raw, unstructured lab outputs to structured, accessible datasets used for analysis and decision-making. You’ll collaborate with bioinformaticians, machine learning specialists, and software engineers to ensure scalability, reliability, and performance across the entire data ecosystem. Key Responsibilities: Develop and manage core data ...

recruiting an excellent opportunity for someone who wants to combine an interest in advanced manufacturing with top notch data modelling and machine learning skills. Our client is seeking an intelligent Data Modelling Engineer to develop statistical models for predicting variation in Additive Manufacturing, working closely with process, materials … communication skills to ensure the value of their work reaches the wider business. The ideal Data Modelling Engineer will have experience with data management, machine learning and/or statistical modelling, with a key advantage being previous experience in probabilistic programming, time-series forecasting within metallurgy or Additive ...

Timescale DB, AWS Cloud, AWS SageMaker, and NoSQL(DynamoDB). What you'll need to succeed You will have strong knowledge and understanding of ML/Data Science concepts, processes, statistical modelling, data and model pipelining and ML algorithms. You will also have commercial experience in delivering customer-facing products … technologies, including web technologies, to help integrate AI and data visualisation capabilities into our existing platform. Essential 5+ years of experience working within ML/Data science development Experience using NVIDIA DeepStream and Jetson hardware Practical experience developing ML pipelines and applications using Python or C++. Strong understanding of Linux ...

Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. Desirable Experience Experience coordinating or supporting AI/ML initiatives within data platforms. Experience working within large, regulated, or international organisations. ...

/best practices and practical experience applying TDD. clear communication/interpersonal skills are a must for working closely with internal teams. Experience with Machine Learning, CI/CD and IAC using Terraform for management of Azure/AWS would be beneficial. What you'll get in return ...

Streaming) Infrastructure-as-code experience (Bicep, Terraform) CI/CD tooling (Azure DevOps, GitHub Actions) Familiarity with data governance and cataloging tools Experience supporting ML or advanced analytics workloads What We're Looking For Strong problem-solving and analytical mindset Ability to work independently and as part of a cross ...

build will directly support research programmes contributing to novel treatments entering clinical trials. You will play a key role in making sophisticated AI and ML capabilities accessible to scientists working on high impact challenges. The Environment You will join a collaborative and technically strong team at the intersection ...

Highly organised, proactive, and self-motivated Desirable Skills Containerisation (e.g., Docker) ASP.NET Core/Blazor JavaScript or TypeScript (e.g., React) 3D geometry programming WPF Machine-learning model development CI/CD pipelines Infrastructure-as-code (e.g., Terraform for Azure/ ...

governance and performance requirements Contribute to best practice around AI engineering, MLOps and deployment patterns Required Experience Proven experience as an AI Engineer/ML Engineer delivering AI into production Strong Python development skills Hands-on experience with LLMs (commercial and/or open-source) Experience building APIs and services ...

owning large technical projects. Nice to Have Experience with full‐stack development (Vue3, Typescript, Django). Knowledge of AWS , especially EKS deployments. Exposure to machine learning or agentic AI pipelines . Basic familiarity with mechanical design concepts, FEA/CFD, or turbomachinery. ...

independently manage substantial technical projects Desirable Skills Experience with Vue3, TypeScript, Django, or full-stack development Familiarity with AWS EKS deployments Exposure to machine-learning or agentic-AI pipeline development Understanding of FEA, CFD, aerothermal design, or turbomachinery principles This position is only open to NATO passport holders ...

MongoDB, Cassandra, or DynamoDB Experience supporting Power BI and Tableau reporting Proficiency in Python, Spark, or similar data engineering tools Understanding of AI and ML trends Strong communication and stakeholder management skills ...

understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience and ability to lead cross-functional teams. Desirable Skills/Knowledge/Experience Ensuring ...

operational considerations: performance tuning, capacity planning, availability, disaster recovery, security compliance. Stay up to date with new ServiceNow features, modules, trends (e.g., AI/ML, data fabric, Now Assist), assess applicability, and recommend adoption where relevant Required Qualifications & Skills Experience : Typically 10+ years of relevant experience in IT, of which ...

Company description: At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment … delivery and service levels Strong communication abilities, especially in simplifying technical concepts for non-technical users and collaborating across teams Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing ...