51 to 75 of 268 Machine Learning Jobs in the South East

insights and drive business impact. Responsibilities - Analyse large, complex datasets to identify trends, patterns, and opportunities for Client’s products and business operations.- Develop and implement statistical models and machine learning algorithms to solve business problems.- Communicate findings and recommendations to stakeholders in a clear and concise manner.- Collaborate with engineering, product, and business teams to design and … experience as a Data Scientist or in a similar analytical role.- Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).- Strong understanding of statistical modelling, machine learning, and data visualization techniques.- Excellent problem-solving skills and attention to detail.- Ability to communicate complex technical concepts to non-technical audiences.- Bachelor’s degree or higher More ❯

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 ( min More ❯

technology-driven logistics organisation. You'll be joining at a pivotal time of growth and transformation, helping to modernise and automate key internal services through the use of AI , machine learning , and big data . This role offers a genuine chance to shape a growing product management function within IT. Product Manager Location: Southampton (Hybrid - 3 days per … product roadmaps. Oversee major technology initiatives, including: Development of a scalable, modern billing system . AI-driven automation within Customer Services (building on existing automation success). Implementation of machine learning for forecasting, insight generation, and discrepancy detection Enhancements to support multi-language and multi-currency customer operations. Ensure products meet both functional and non-functional requirements, including More ❯

technology-driven logistics organisation. You'll be joining at a pivotal time of growth and transformation, helping to modernise and automate key internal services through the use of AI , machine learning , and big data . This role offers a genuine chance to shape a growing product management function within IT. Product Manager Location: Southampton (Hybrid - 3 days per … product roadmaps. Oversee major technology initiatives, including: Development of a scalable, modern billing system . AI-driven automation within Customer Services (building on existing automation success). Implementation of machine learning for forecasting, insight generation, and discrepancy detection Enhancements to support multi-language and multi-currency customer operations. Ensure products meet both functional and non-functional requirements, including More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

description: Stats Perform is the global leader in sports tech, delivering the most trusted sports data to the worlds biggest names in sports, media, and broadcasting. Using AI and machine learning, we transform decades of data and live game insights into powerful tools for coaches, teams, media, and sportsbooks. The result? Smarter decisions, deeper fan engagement, and a … specialists to elite journalists and cloud engineers, our team turns raw numbers into magic. Our tech experts work with advanced cloud solutions, Java, JavaScript, and Python, using AI and machine learning to extract insights and deliver them via APIs. Were looking for a visionary and commercially astute leader to join our Rights team as VP of Rights. This More ❯

virtualisation and systems integration in a cloud based environment. Experience in designing and implementing control systems to high Military security standards. Able to interface with and/or develop Machine Learning systems. Experience specifically within the Defence Maritime sector. Highly Desirable Understanding of high speed Maritime Platform Vehicle control. Security clearance: Clearance to Start - BPSS Clearance for Role … transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

ML Infrastructure Engineer Location: Oxford, UK (Hybrid) Organisation: Global AI & Health Innovation Programme Employment Type: Full-time | Permanent About the Role We are seeking a ML Infrastructure Engineer to design, implement, and scale the infrastructure that supports high-performance machine learning and AI-driven research workflows . You will play a critical role in bridging the gap between … data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation pipelines that accelerate model development and deployment across distributed, cloud-native systems. Key Responsibilities Design, implement, and maintain end-to-end MLOps pipelines for model training, validation … AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and bioinformatics workloads. Collaborate with security and DevSecOps teams to enforce best practices in access control, compliance, and governance . Support AI/ML researchers in model experimentation and infrastructure More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques without 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 ❯

deployment of models as well as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps and Data Engineers to deploy … ML models on AWS. Provide mentorship to peers and partners on potential actions and impacts. Develop Python code adhering to standard processes, CI/CD, and test coverage. We strongly encourage anyone with the below to apply: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. … 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, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in More ❯

metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS and … multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine-tuning only when needed. Fine-tune and optimise ML models and LLMs to enhance performance, efficiency, and relevance for Chambers’ research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable … and guide more junior engineers and other team members, review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal-tech/legal-analytics domain to bring relevant innovations into our stack. Skills and Experience Professional experience Demonstrable experience in software engineering, with 2+ years building More ❯

to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. ● Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics More ❯

Tetra Tech is looking for a Principal/Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Principal/Associate Geospatial Developer (GIS/AI/ML) Manchester or Southampton Tetra Tech is looking for a Principal/Associate Geospatial Developer … GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Why this is a great opportunityfor you: Shape the Future: Lead the design and delivery of next-generation geospatial AI/ML systems that will transform how clients in nuclear, defence, water and beyond manage … Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs-of-concept to large scale multi-sector deployments, youll tackle a broad array of More ❯

or MSc) in a quantitative or technical field (Statistics, Mathematics, Physics, Computer Science, Machine Learning) Strong programming skills in Python (production-level) and SQL; confident with modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch Familiarity with MLOps frameworks, model deployment, and cloud-based platforms (Databricks, AWS, Azure) Strong experience with data visualisation tools and More ❯

Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from day one. You won't just be implementing tickets — you'll help More ❯

I am working with a consultancy feeding into the public sector, looking for multiple ML Engineers.Inside IR35£400 - £500 per day (depending on experience level)Remote (occasional London travel) Proven experience building and deploying machine learning models in a production environment. Strong programming skills and deep expertise in Python. Hands-on experience building with agentic or RAG (Retrieval … Bedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training … traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) Experience with observability and evaluation tools for LLMs such as TruLens or Helicone. Experience with AI safety and reliability frameworks like Guardrails AI. More ❯

sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced Senior Data Engineer with strong expertise in Databricks , Azure More ❯

data science models to answer strategic business questions and turn data into actionable insights for the organisation. You will be responsible for developing advanced analytics products using Microsoft Azure ML Studio, Python, and Power BI. You will be involved in business conversations to understand requirements, analyse datasets, estimate and productionise machine learning models, and communicate insights to the … ensure successful outcomes across team members and collaborating teams * Understand strategic business initiatives and analytical questions to answer. * Design, develop, test, and deploy data science workflows using Microsoft Azure ML Studio with a Python data science stack. * Ensure high-quality delivery of accurate data science models, and review that proposed solutions meet security, compliance, and governance requirements. * Monitor model performance … and storytelling techniques to share analytic conclusions and their strategic impact. * Collaborate closely with other teams to manage interdependencies, risks and resourcing to support portfolio delivery. * Develop AI/ML proof-of-concepts and assist the business with evaluations to measure success and estimate value proposition. Essential Criteria: * Extensive experience with Python and data science Python packages (e.g. scikit-learn More ❯

build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in a fast-paced trading environment where insight shapes strategy. Qualifications What we’d love you to … bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing More ❯

Design, develop, and maintain data pipelines and data integration solutions using Azure Data Factory, Synapse Analytics, and related services. Build and optimise data models to support reporting, analytics, and machine learning use cases. Implement robust data quality, governance, and security practices across the data ecosystem. Collaborate with analysts, data scientists, and business stakeholders to understand data needs and More ❯

specializing in digital transformation for the water and wastewater industry. Their mission is to help utilities, municipalities, and industrial operators harness the power of cloud technology, IoT, AI/ML, and Hybrid Digital Twins to optimize operations, ensure compliance, and achieve sustainability and ESG goals. With a strong foundation in world-leading research, SaaS innovation, and water sector expertise, our More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

join a scaling startup in the Education sector Salary up to £70k , depending on experience Fully remote role (Europe-based) Tech stack: Python, LLMs, LangChain, AI Agents, SQL, GCP, ML If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're an EdTech startup developing … an AI-powered learning platform that helps university students prepare for exams and supports children in improving their reading and writing skills. As we continue to scale, we're expanding our AI capability - designing intelligent systems that personalise learning, generate insights, and drive student success. WHAT YOU WILL BE DOING: Design and develop AI-driven systems and tools … process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: LLMs | LangChain | Agentic AI | AI Agents | Python | SQL | GCP | NLP | RAG | ML | AI Automation | Prompt Engineering More ❯