101 to 125 of 369 Machine Learning Jobs in the South East

and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity … Europe when you assemble the best talent. YOUR IMPACT Our stellarator design team is pushing the boundaries of today's technologies, directly integrating physics simulation with design engineering and machine learning workflows. We are building new tools and processes to drive fusion performance up and power plant costs down. As a Research Software Engineer, you will join our … to date with current software development best practices and tools, e.g. AI coding assistants or modern data pipelines and scheduling solutions. - Enjoy diving into new problems with a continuous learning attitude, absorbing relevant domain knowledge. - Additional experience with scientific C++ and Fortran libraries, HPC technologies, cloud computing, or web app development is a plus. INTERVIEW PROCESS Recruiter Interview More ❯

a hands-on Infrastructure Engineer with proven experience in the physical and technical deployment of AI-ready environments. This role is critical to building the foundational infrastructure that supports machine learning, high-performance computing (HPC), and GPU-based workloads. The ideal candidate will be experienced in deploying compute nodes, networking, storage, and supporting infrastructure in data centre or … Ability to read technical diagrams, rack elevation plans, and cabling schematics Comfortable working hands-on in data center environments (lifting, racking, connecting, etc.) Desirable Skills: Previous work on AI, machine learning, or HPC cluster deployments Experience with NVIDIA GPUs, DGX systems, or custom AI racks Knowledge of Ansible, Redfish, PXE boot, or infrastructure automation tools Certifications: CompTIA Server+ More ❯

Senior ML & AI Backend Engineer - Big Data, LLMs & MLOps About the Role We're an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We're looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend … collaborative teams and want your work to have a direct, tangible impact, this is the place for you. What You'll Do Architect and implement scalable backend systems powering ML models and LLMs in production. Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment, monitoring, and iteration. Develop solutions for big data storage and … processing, ensuring data quality, security, and efficiency. Integrate and optimize both classical ML models and LLMs for real-world use cases. Research and experiment with state-of-the-art algorithms, tools, and frameworks - bringing fresh ideas from prototype to production. Collaborate closely with a cross-functional team of data scientists, engineers, and product stakeholders. Write clean, maintainable, well-tested code More ❯

Lead Technologist - ML/AI £85000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Lead Technologist - Artificial Intelligence & Machine Learning Location: South East UK (Hybrid - Great Baddow base) Full-Time | Up to £85,000 + Benefits | Security Clearance Required (UK EYES ONLY) Shape the Future of Applied AI in Defence, Space & Autonomy Are you ready … to lead at the frontier of AI/ML research and application? This is your opportunity to steer innovation that matters-developing technology that underpins national security, space capability, and intelligent autonomous systems. We're looking for a Lead Technologist to help guide a technically diverse AI/ML team tackling real-world, mission-critical challenges across reinforcement learning … days onsite with flexible remote options One-stage interview process -streamlined and respectful of your time Your Role Will Involve: Leading the technical delivery of large-scale AI/ML research programmes Providing engineering assurance across bids, project outputs, and research publications Identifying and shaping new R&D themes in collaboration with partners and academic institutions Mentoring junior team members More ❯

Lead AI ML Engineer ££70,000 - £85,000 GBP Bonus Hybrid WORKING Location: Chelmsford, Central London, Greater London - United Kingdom Type: Permanent Lead AI/ML Engineer Chelmsford (Hybrid - 2 days onsite per week) £70,000 - £85,000 + 10% Bonus Security Clearance: Must be eligible for UK SC Clearance A globally respected research and technology organisation is seeking a … Lead AI/ML Engineer to join its advanced data and decision science capability. This is a rare opportunity to shape the future of AI innovation in domains such as defence, autonomy, RF systems, and remote sensing-working across a portfolio of cutting-edge research and product development. As a technical leader within a multi-disciplinary team, you'll spearhead … the design and assurance of advanced AI/ML solutions, guide junior engineers, and drive collaborative research with academia and external partners. This role offers a unique blend of hands-on AI development and strategic technical influence across programmes in radar, sonar, NLP, computer vision, and large language models. What you'll be doing: Leading delivery of high-impact AI More ❯

AI era, with research outputs expected to be published in top conferences and contribute to Fujitsu’s business advancements. Mentoring interns and junior researchers to foster a culture of learning and innovation. Your Transferable Skills and Experience To be suitable for this opportunity, you will be pro-active in your approach, adaptable and able to demonstrate that you have … Proven expertise in machine learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud More ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

and improve customer engagement. As a Senior AI Engineer within the Technology Engineering team in CIO, you will play a pivotal role in designing, developing, and deploying AI and machine learning solutions that address real-world business challenges. You will work closely with cross-functional teams-including Data Science, Engineering, Product, and Business stakeholders-to identify opportunities for … engineers, promote reusability of AI components, and support the continuous improvement of AI engineering practices across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity More ❯

to succeed. A progressive organisation where you can really make a difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/… ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats … and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. * Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ More ❯

We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model … and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project. Required Skills, Knowledge and Expertise You will have relevant academic (research Masters level) and/… systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many More ❯

LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS/CLOUD INFRASTRUCTURE/ More ❯

and improve customer engagement. As a Senior AI Engineer within the Technology Engineering team in CIO, you will play a pivotal role in designing, developing, and deploying AI and machine learning solutions that address real-world business challenges. You will work closely with cross-functional teams-including Data Science, Engineering, Product, and Business stakeholders-to identify opportunities for … engineers, promote reusability of AI components, and support the continuous improvement of AI engineering practices across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proven experience delivering production-grade AI solutions. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using More ❯

Lead Technologist - AI & ML ££85,000 GBP 10% bonus Hybrid WORKING Location: Chelmsford, Chelmsford, East of England - United Kingdom Type: Permanent Lead Technologist - Artificial Intelligence & Machine Learning Location: Chelmsford (2 days a week) Salary : Up to £85,000 + 10% We're looking for a Lead Technologist with deep expertise in AI/ML to drive technical excellence … ll guide teams working on cutting-edge areas including reinforcement learning, LLMs, NLP, knowledge graphs, remote sensing, RF signal processing, and autonomy. Key Responsibilities: Lead complex AI/ML R&D projects and provide engineering assurance Mentor and support junior researchers and developers Shape and direct novel research in collaboration with universities and partners Present insights to stakeholders across … technical and non-technical domains About You: PhD in a relevant field with 10+ years of AI/ML experience Proven track record leading technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal More ❯

Key Responsibilities • Design, Architect and deploy AI/ML and Gen AI solutions on OCI using native AI services (e.g., OCI Data Science, AI Services, Gen AI Agents) that are secure, scalable and optimized for performance & cost. • Build agentic AI solutions using frameworks such as LangGraph, CrewAI, AutoGen.• Design & lead the development of machine learning AI/ML … architectural insights and technical credibility. We are looking for an experienced OCI AI Architect to lead the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. This role requires a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal … candidate combines deep technical expertise in AI/ML and Gen AI over OCI with domain knowledge in Finance and Accounting. More ❯

advance of commencing the interview process with us. Learn more about our culture here . Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they're solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have heart. Our More ❯

Senior Research Scientist AI/ML £85000 GBP Onsite WORKING Location: England , Chelmsford, East of England - United Kingdom Type: Permanent Lead Technologist - Artificial Intelligence & Machine Learning Location: Chelmsford (2 days a week) Salary : Up to £85,000 + 10% We're looking for a Lead Technologist with deep expertise in AI/ML to drive technical excellence across … ll guide teams working on cutting-edge areas including reinforcement learning, LLMs, NLP, knowledge graphs, remote sensing, RF signal processing, and autonomy. Key Responsibilities: Lead complex AI/ML R&D projects and provide engineering assurance Mentor and support junior researchers and developers Shape and direct novel research in collaboration with universities and partners Present insights to stakeholders across … technical and non-technical domains About You: PhD in a relevant field with 10+ years of AI/ML experience Proven track record leading technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal More ❯

team and focuses on managing and delivering projects, identifying and implementing strategic opportunities and working with the business to extract value from their data assets. This will demand rapidly learning about the data we have, the business needs/challenges and applying expertise in analytics and data science delivery to turn this into great insight that is ultimately actionable … be your key responsibilities? Plan and lead data science projects to understand and optimise manufacturing processes across different regions and plants. Manage multiple projects at the same time Use machine learning techniques, visualisations, & statistical analysis to gain insight into various data sets some readily available, and some that have been created and curated by yourself. Apply the right … engagement with the digital transformation strategy. Participate in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-owners. Adhere to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to effectively leverage More ❯

team and focuses on managing and delivering projects, identifying and implementing strategic opportunities and working with the business to extract value from their data assets. This will demand rapidly learning about the data we have, the business needs/challenges and applying expertise in analytics and data science delivery to turn this into great insight that is ultimately actionable … be your key responsibilities? Plan and lead data science projects to understand and optimise manufacturing processes across different regions and plants. Manage multiple projects at the same time Use machine learning techniques, visualisations, & statistical analysis to gain insight into various data sets some readily available, and some that have been created and curated by yourself. Apply the right … engagement with the digital transformation strategy. Participate in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-owners. Adhere to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to effectively leverage More ❯

systems that operate in highly regulated environments, processing complex financial data and making critical business decisions. What You'll Build Advanced agentic architectures with orchestrator-managed specialized sub-agents Machine learning algorithms that increase agent autonomy and reduce human input Collaborative learning systems where … agents share knowledge and improve collectively Fine-tuned models optimized for complex financial workflows Event-driven distributed systems handling sensitive data at enterprise scale The Tech Stack AI/ML : Multi-agent frameworks, fine-tuning, reinforcement learning, advanced RAG Platform : AWS serverless, event-driven architecture, microservices Languages : Python, with modern ML libraries (PyTorch, TensorFlow) What They're Looking For … 5+ years developing AI/ML systems beyond basic integration Deep understanding of agent architectures and distributed AI systems Computer science fundamentals - algorithms, system design, software engineering Startup mindset - comfortable with rapid iteration and technical trade-offs This is an incredible opportunity to join a well-funded startup at a truly exciting time. You'll work alongside brilliant engineers, tackle More ❯

business. We are now seeking a Junior Data Scientist to become part of this successful team. The successful individual will be highly ambitious, motivated, and eager to upskill while learning from the wider team. As a Junior member of the team, you will be supported as you lead all aspects of end to end projects from ideation … through to production deployment, working on various models across Pricing, Fraud and Claims. What you'll do: Collaborate with business partners to improve processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Collaborate with DevOps and Data Engineers to deploy ML models on AWS. Develop Python code adhering to standard processes, CI … functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs and refining them to strong results. Exposure to Python data science stack Knowledge More ❯

Senior Research Scientist £70000 GBP 10% Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Senior Research Scientist - Data Science & ML Location: Cheltenham (Hybrid - 2 days per week on-site) Job-Type: Permanent Salary: Up to £70,000 + Bonus Eligible candidates must hold sole British citizenship and be eligible for UK SC Clearance We're partnered with … for a Senior Research Scientist to help shape the future of sensor-driven AI and inference systems. Joining a world-class research environment, you'll develop novel AI/ML methods for time-series data, signal processing, autonomy, and intelligent decision support. You'll lead technical delivery and mentor junior scientists, while collaborating with multi-disciplinary teams working at the … on applying research to real-world systems-think radar, RF, sonar, and decision automation-this is your chance to lead innovation with purpose. Key Responsibilities Lead technical delivery of ML R&D projects and mentor junior researchers Propose novel solutions across time-series ML, signal inference, and decision intelligence Build proof-of-concept systems using Python and industry-standard AI More ❯

as SEM/AFM or other). Experience working with metrology tools in a regulated environment. Experience of use of Artificial Intelligence/Machine Learning (AI/ML) Experience with version control and testing. Focus on the company goal, avoid distraction, making timely decisions to achieve the target. Education/Qualifications: Bachelor's degree or higher in relevant More ❯

tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank More ❯

tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank More ❯