201 to 225 of 236 Machine Learning Jobs in the East of England

that every other engineering team builds against. You will architect the cloud-based services and MLOps infrastructure that enable production-grade AI/ML workflows, working closely with Applied AI engineers, data engineers, and platform teams, and you will act as the technical design authority for how models, LLMs … latency controls that keep production AI economically viable at scale. This is a highly impactful seat for an engineer who has shipped AI/ML infrastructure as a multi-tenant product rather than internal tooling. The model serving, MCP, and agent capabilities you build are consumed directly by scientists ...

architecture across the product pipeline - from real-time data processing and predictive analytics through to automated operations and intelligent alerting. Lead delivery of production ML/AI systems, working closely with data science and operational teams to deploy models that create measurable business value. Own integrations with operational and enterprise … architecture, proof-of-concept development, and production deployment. Meaningful experience with a subset of these technologies is essential: TypeScript (application development, API services) Python (ML/data pipelines, automation, scripting) SQL (data modelling, querying, optimisation) Azure (cloud services, serverless functions, managed services) Infrastructure as Code (Pulumi preferred, or similar tooling ...

work closely with Applied AI engineers, data engineers, and platform teams to deliver the cloud services and MLOps infrastructure behind production-grade AI/ML workflows. You will own major parts of the AI platform end to end, from design through production. You will work with the Lead Platform Engineer … latency controls that keep production AI economical at scale. This is a high-impact seat for an engineer who has shipped AI/ML infrastructure that real external users depend on, not only internal tooling. The model serving, MCP, and agent capabilities you build are used directly by scientists ...

lead optimization), preclinical development, CMC (all drug modalities), or product quality testing. Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis … plotting tools like holoviews and Plotly) Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid) Programmatically interrogating proprietary instrument output files. Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption ...

with web crawlers, data acquisition, or distributed data-processing systems. Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform. Familiarity with ML training data, dataset quality, or audio processing. What We Offer A dynamic environment where your contributions shape the company and its products A team that … atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think ...

measurable business outcomes. It will primarily support the core AI roadmap and key transformation initiatives across Arm. Responsibilities: Bring deep expertise across AI, ML, GenAI, LLMs, RAG, agentic systems, and applied AI engineering to help shape practical, reusable AI capabilities at Arm. Define and embed AI engineering standards for evaluation … develop agentic and AI solutions that improve the engineering experience and developer productivity. Required Skills and Experience: Deep hands on expertise across AI, ML, GenAI, LLMs, RAG, reinforcement learning, agentic and multi-agent systems, and applied AI engineering. Strong software and backend engineering capability, with experience architecting, building, testing ...

with web crawlers, data acquisition, or distributed data-processing systems. Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform. Familiarity with ML training data, dataset quality, or audio processing. What We Offer A dynamic environment where your contributions shape the company and its products A team that … atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Speechify ...

specific criteria. We encourage you to spend at least three days each week on site to integrate with your team and maximise your learning experience. What you will do as a Graduate Systems Engineer (Luton) Luton is the home to around 1,000 people who are involved … export customer aircraft. Technology to draw insights from the vast amounts of data collected by our electronic surveillance systems using artificial intelligence and machine learning. Graduate Systems Engineers support the development of world-leading technologies and capabilities across multiple Avionic Systems and Platforms. Responsibilities As a Graduate Systems Engineer ...

hybrid retrieval across scientific data, instruments, and metadata: relevance standards, indexing pipeline, and the infrastructure that makes search a reliable product surface. AI/ML Ops: Model lifecycle, inference and training on platform, Agentic IAM and DX, telemetry, observability and frameworks that keep scientific AI outputs traceable and operable under … year one Tetra’s Authn/Authz architecture is streamlined and well integrated across data, compute and Agentic AI platform layers. AI/ML infrastructure has a clear architecture and roadmap for MLE inference and training use cases, with strong operational telemetry, cost visibility and governance. The Developer Platform ...

full runtime stack – interpreter, JIT and AOT compilers, garbage collector and runtime libraries – and you will follow every optimisation down to the generated machine code and the hardware counters that explain it. This is a hands‐on role for someone who finds the bottleneck, writes the patch and proves … embedded SoCs. Contributions to an open‐source runtime, compiler or GC, or a track record of upstream performance patches. Experience with LLM agents or ML‐assisted tooling for code optimisation, or an end‐to‐end self‐built system of that kind. Familiarity with cycle‐accurate or architectural simulators such ...

signal data for defence and security applications Interested in national security and the defence sector? This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications and infrastructure security around drone detection. They are looking to recruit … C++ or Rust; or RF circuit fundamentals would be beneficial. Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone/autonomous technologies. Due to the nature of projects, the role would be fully onsite at offices based close ...

drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists, and experimental scientists to turn evolving scientific needs into secure … work in the UK. Responsibilities: Lead the architecture and evolution of our AWS-based infrastructure across cloud services, scientific data platforms and AI/ML workloads, balancing delivery speed, reliability, security and cost. Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns that make production ...

Limited is seeking software engineers to join the ML compiler development team in Cambridge. You will contribute to AI/ML compiler design, model ingestion, and optimisation as part of Arm's ML software stack. The role requires strong C++/Python skills, experience with the full software lifecycle … knowledge of ML compilation technologies (MLIR/TVM). A collaborative, proactive approach and excellent English communication are essential. #J-18808-Ljbffr ...

governance, and ensuring controlled adoption over shadow IT What we’d like you to bring Proven experience leading Product or Technology teams delivering AI, ML, or automation solutions in a commercial environment Strong understanding of AI tools and their practical application in business operations, including generative AI, AI agents, prompt … engineering, and retrieval-augmented generation A Product Management approach to AI initiatives, covering intake scoring, roadmap prioritisation, outcome measurement, and iterative delivery Confidence learning and evaluating new AI platforms, tools, and models to act as an informed buyer and operator Proven experience leading cross-functional teams with a followership ...

governance, and ensuring controlled adoption over shadow IT**What we'd like you to bring*** Proven experience leading Product or Technology teams delivering AI, ML, or automation solutions in a commercial environment* Strong understanding of AI tools and their practical application in business operations, including generative AI, AI agents, prompt … engineering, and retrieval-augmented generation* A Product Management approach to AI initiatives, covering intake scoring, roadmap prioritisation, outcome measurement, and iterative delivery* Confidence learning and evaluating new AI platforms, tools, and models to act as an informed buyer and operator* Proven experience leading cross-functional teams with a followership ...

Background in distributed HPC, cloud environments, data engineering & analytics. Knowledge of EDA workflows and semiconductor engineering environments. Proficiency in Python and data analysis/ML frameworks. Ability to turn sophisticated data into clear, actionable strategy. “Nice To Have” Skills and Experience : Experience with IBM Spectrum LSF or other job schedulers. … Familiarity with NetApp or high-performance storage systems. Experience applying AI/ML to workload optimization or resource management. Experience building production-grade data pipelines. Exposure to FPGA and Emulation infrastructure. In Return: Join a collaborative, fast paced team solving significant platform challenges. There will be room to grow technically ...

specific issues from systemic, enterprise-wide gaps. Engage 50+ subject matter experts (SMEs) and core team members across Research, Development, Tech, and AI/ML to ground findings in real user experience. Define a future-state ambition for priority data-management capabilities. Run sessions with a broad … frameworks, IHD/consent‐related data access processes, or regulatory data considerations. Experience managing delivery‐focused teams or programs with direct accountability for outcomes. Learning, capability‐building or workforce upskilling experience. Closing Date for Applications – 25th November 2026 GSK is an Equal Opportunity Employer. This ensures that all qualified ...

specific issues from systemic, enterprise-wide gaps. · Engage 50+ subject matter experts (SMEs) and core team members across Research, Development, Tech, and AI/ML to ground findings in real user experience. · Define a future-state ambition for priority data-management capabilities. · Run sessions with a broad … frameworks, IHD/consent-related data access processes, or regulatory data considerations. · Experience managing delivery-focused teams or programs with direct accountability for outcomes. · Learning, capability-building or workforce upskilling experience. Closing Date for Applications – 25 th November 2026 #LI-GSK #LI-Hybrid Please take a copy ...

remote-first role with occasional travel to our Hemel Hempstead head office or Haven parks. You will own end-to-end ML model development, deploy analytical solutions, and work with cross-functional teams to translate business questions into insights that drive decision-making. The role requires hands-on ML, Python ...

Apple, Inc. in Cambridge, England seeks a Senior Software Engineer to advance privacy-preserving measurement and ML technologies across Apple devices. You will design and implement scalable software, collaborating with cross-functional teams to push the boundaries of on-device AI while upholding strict privacy standards. Applicants should have strong ...

tooling. Knowledge of MDM, reference data management, and semantic modelling. Experience with streaming platforms (Kafka, EventHub) and API-based integration. Understanding of AI/ML data preparation pipelines and feature store design. What Success Looks Like in This Role Clear, scalable data models adopted across teams and projects. High trust … aligned, and able to execute effectively because the architecture removes ambiguity. Advert closes Friday 20th November Benefits: Competitive salary dependant on skills and experience Learning and development opportunities, including mentoring and a range of formal courses and open learning resources. Entry into the company annual bonus scheme. Annual ...

PROJECTS & PRODUCTS Be part of an exciting and talented team while working on interesting software/engineering projects and products for leading global customers. LEARNING & DEVELOPMENT Innovecture is always looking for growth mindsets in talented people. We have continuous learning baked into our DNA. GROWTH CULTURE We hire … experimentation : Build organizational understanding of what AI can and cannot do, establishing realistic expectations while inspiring innovation and experimentation. What You Bring AI/ML fundamentals : Practical understanding of Large Language Models (LLMs), prompt engineering, generative AI capabilities, limitations, and use case suitability. Technical problem‐solving : Ability to decompose business ...

architectural features like MVE, NEON, SVE2, and SME. Compute libraries: Develop and optimize mathematical and signal-processing kernels, including FFTs, filters, image processing, and ML preprocessing. System integration: Integrate sensors, memory subsystems, DMA, accelerators, and software components into complete processing pipelines. Benchmarking and profiling: Analyze CPU utilization, memory bandwidth, cache … equivalent compute libraries. Ethos-U NPU or other AI accelerators. Audio processing, computer vision, or sensor fusion. TensorFlow Lite, ExecuTorch, or other embedded ML frameworks. Python scripting for automation, benchmarking, and performance analysis. Experience with FPGA prototypes or pre-silicon platforms. Deploying Agentic-AI in SW creation and optimization. Experience ...

learn new chips and programming models as the work develops. We care more about how well you understand hardware and memory than about ML research credentials. What You'll Do Write and optimise CUDA and Triton kernels on NVIDIA GPUs for sparse and structured model components, including block-sparse matrix … Strong Python and C/C++. A rigorous approach to testing numerical code (e.g. comparison against reference implementations, mixed-precision error). Openness to learning new hardware architectures and programming models, often from limited documentation. A strong enthusiasm for using LLMs, coding assistants, and agents as core tools ...

Ocado Group is seeking a Data Engineer in Hatfield to build and maintain a scalable data warehouse powering analytics and ML. You will design robust ELT/ETL pipelines, implement data quality checks, and collaborate ...