226 to 248 of 248 Machine Learning Jobs in the South East

a key member of the Automation Team, you'll design and build next-generation automation platforms, blending Python, React, Postgres, and modern DevOps practices with cutting-edge AI/ML techniques such as RAG, vector databases, and multi-agent systems. You'll work across the full software lifecycle: from system design and test automation, to deployment and performance monitoring, collaborating … with some of the brightest minds in the industry. What You'll Work On Designing and developing automation solutions aligned with Apple's product requirements. Building agentic AI/ML systems (MCP servers/clients, RAG pipelines, vector DBs). Developing both front-end (React, JS) and back-end (Python, APIs, Postgres) features. Driving test automation with Selenium and iOS … code reviews and mentoring. Hands-on experience with Selenium and iOS functional automation. Strong React/JavaScript UI development background. Back-end engineering with Python + Postgres. AI/ML expertise in LLMs, embeddings, and RAG systems. Experience with ETL pipelines, vector databases, and modern DevOps (Jenkins). Bonus points for: Multi-agent system design. Graph database experience. Familiarity with More ❯

inside IR35 via umbrella)Contract End Date: March 27, 20262- 3 days onsite in Kings Cross pw requiredJoin a forward-thinking organisation where innovation meets collaboration. Our AI/ML team is built on the principles of ownership, accountability, continuous development, and teamwork. We are committed to creating a supportive environment that fosters your career growth from day one.Key Responsibilities … Implement front-end features for a React application that visualises and interacts with scientific data and workflow progression.Integrate AI/ML components with the frontend, backend, data, and compute infrastructure.Ensure high-quality software implementations according to best practises, including automated test suites and comprehensive documentation.Develop, measure, and monitor key metrics for all tools and services, consistently seeking to iterate and More ❯

Data Engineer - AI/ML | Leading Pharma | London (Hybrid) My client a leading pharmaceutical company is looking for a Data Engineer who thrives on solving complex challenges and building scalable data solutions that power scientific innovation. Key Responsibilities Build and maintain data pipelines using Python, Spark, SQL, BigQuery , and Google Cloud Collaborate with scientists to meet research data needs Ensure … Google Cloud or similar Familiarity with unit testing , Git , and Agile Desirable: Experience with bioinformatics or scientific datasets Knowledge of Nextflow , Airflow , NLP , and Docker Exposure to AI/ML applications If the role aligns with your skills and experience, please apply with your updated CV More ❯

brand who urgently require a Data Architect with expertise in Data Vault, Data Modelling, Data Engineering Design, strong Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI), Snowflake and Enterprise scale Data Sources to join a business-critical Programme ASAP. Key Requirements: Proven expertise in Data Architecture working on large, complex Data Programmes Strong … Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Previous experience with large, Enterprise scale Data sets and sources Strong understanding of Data More ❯

Insurance brand who urgently require a Data Solution Architect with expertise in Data Modelling, Data Engineering Design, strong Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI), Snowflake and Enterprise scale Data Sources to join a business-critical Programme ASAP. Key Requirements: Proven expertise in Data Solution Architecture working on large, complex Data Programmes … Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Previous experience with large, Enterprise scale Data sets and sources Strong understanding of Data More ❯

ambitious hedge fund with a specialism in global macro strategies . Apply your skills in time-series forecasting to datasets central to investment decisions. Collaborate with quant researchers and ML engineers in a highly data-driven environment. Competitive base salary with significant bonus earning potential . What you'll be doing: Exploring, processing, and analysing complex time-series datasets. Designing … and implementing advanced statistical, ML, and deep learning models for forecasting. Applying best practices in model development, testing, and validation. Working closely with quants and engineering teams to integrate models into investment workflows. Contributing directly to investment strategies with your research and insights. What we're looking for: Strong hands-on experience with time-series modelling (ARIMA, VAR, GARCH More ❯

curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. EIT is seeking a Product Manager to join the Applied ML team at Ellison Institute of Technology, as we set up our Data Science and Engineering organization and begin the journey of enabling various programmes and opportunities within EIT through the … disparate technical and domain expertise to a single purpose/vision This person would interface directly with our Product Leadership, as well as number of technical (e.g., Data Science, ML Ops), business and operational leads (within the programmes) and own the product strategy, feature definition, and development timelines for products that support programme or Applied ML objectives. Key Responsibilities: Define … and shepherd holistic Applied AI/ML product strategy and delivery in alignment with broader programme, business or research priorities including: Working with programme business leads to identify opportunities for applied AI/ML product and set the product vision and strategy in alignment with the programme mission Act as a link between technical team (e.g., data scientists, data engineers More ❯

curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. EIT is seeking a Product Manager to join the Applied ML team at Ellison Institute of Technology, as we set up our Data Science and Engineering organization and begin the journey of enabling various programmes and opportunities within EIT through the … disparate technical and domain expertise to a single purpose/vision This person would interface directly with our Product Leadership, as well as number of technical (e.g., Data Science, ML Ops), business and operational leads (within the programmes) and own the product strategy, feature definition, and development timelines for products that support programme or Applied ML objectives. Key Responsibilities: Define … and shepherd holistic Applied AI/ML product strategy and delivery in alignment with broader programme, business or research priorities including: Working with programme business leads to identify opportunities for applied AI/ML product and set the product vision and strategy in alignment with the programme mission Act as a link between technical team (e.g., data scientists, data engineers More ❯

image recognition, predictive analytics) into business workflows. Prototype privacy-first solutions using techniques such as federated learning, differential privacy, and secure multi-party computation. Implement safeguards across the ML lifecycle: data security, access controls, and loss-prevention policies. Design monitoring and auditing frameworks to detect anomalies, leakage, or compliance risks. Collaborate with legal, product, and security teams to translate … findings to non-technical audiences. Create documentation, training, and guidance to embed privacy-aware practices across teams. What we're looking for: Strong track record as an AI/ML or Privacy Engineer with end-to-end model development experience. Proficiency in Python, plus hands-on experience with TensorFlow, PyTorch, or JAX. Skilled in cloud environments (GCP required; multi-cloud More ❯

academic background is important in their technical recruitment approach. Currently, they are looking to recruit a Software Development Engineer to join a nascent group to incorporate innovative AI/ML features into their software offerings. The focus is still on design, development and deployment of well-engineered scalable software solutions, the challenge is how to best utilise AI/ML … This should include experience with software architecture and understanding how to support structured (SQL) and unstructured (RAG) data. Experience with Python and C++/C# including how to integrate ML features. The role does require relevant technical expertise, limited university/freelance projects are not sufficient. On offer is an excellent remuneration package including a wide range of benefits. Successful More ❯

depending on experience Fully remote working (UK-based) with hybrid London option if preferred Autonomy, flexibility, and trust - no micromanagement Work with cutting-edge software companies across AI, ML, DevOps, SaaS, and more Be part of a collaborative team that values knowledge-sharing and professional growth R&D Tax Specialist Requirements: Degree or equivalent in a software-related subject (Computer … Science, Software Engineering, DevOps, AI/ML, Full Stack Development) Experience in R&D tax consultancy Strong technical proficiency in modern programming languages or demonstrable software engineering background Excellent communication skills - able to explain technical topics to non-technical audiences Collaborative, client-focused mindset, comfortable working independently too To Be Considered: To apply, please click online or email . For … in connection with this vacancy only. Key Skills: R&D Tax Credits, R&D Tax Consultant, Software, Technical Consultant, UK R&D Tax Incentive Scheme, Software Engineering, AI/ML, Full Stack, DevOps, Startups, Scale-Ups, Hirecracker, HCFinance More ❯

Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Design and improve optimisation algorithms for staff scheduling and warehouse workforce planning Develop mathematical models and optimisers (beyond standard ML More ❯

a driven and experienced Technical Manager to lead our clients research group. You will guide groundbreaking research projects in areas such as video and point cloud compression, AI/ML Applications & algorithm optimization for both performance and visual quality. About the company: MicroTECH Global are working with a company who are at the forefront of parallel data compression, with deep … for hypothesis-driven innovation, enabling rapid cycles of iteration and fast-tracked delivery of Minimum Viable Products. • Technical Expertise: Experience in designing and developing data compression solutions, AI/ML technologies, and/or C++ development. • Leadership Skills: Proven ability to manage and mentor a skilled team, driving projects to completion within commercial deadlines. • Communication Skills: Excellent written and verbal More ❯

AI/ML Engineer – Contract 6-Month Contract | View to Extend | London (Hybrid) Morela is proud to be supporting our growing AI customer in their search for an experienced AI/ML Engineer . This role offers the chance to contribute to cutting-edge projects within a dynamic and innovative environment. What we’re looking for: Proven experience in AI …/ML model development and deployment Strong skills with Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP) MLOps assurance and risk experinece Knowledge of data pipelines, model optimisation, and real-world deployments Details: Contract: 6 months (with view to extend) Location: London (Hybrid) Start: ASAP If you’re interested, please apply or reach out to the More ❯

real-world workflows. Contributing to the development of our proprietary AI platform - no plug-and-play, all innovation. What We're Looking For Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of More ❯

track record of streamlining data workflows. Data Quality: Experience in data cleansing and ensuring consistency across systems. Legacy Systems: Familiarity with data extraction from systems like AS400. AI/ML Interest: Exposure to or interest in applying AI/ML in analytics is desirable. Communication: Excellent written and verbal communication skills. Job Offer 12month Contract Competitive daily rate of approximately More ❯

Leadership Manage and deliver a portfolio of internal AI projects (pilots, PoCs, tooling rollouts) from discovery through evaluation. Design and implement an internal AI upskilling programme, including workshops, micro-learning, and AI champions. Collaborate with internal stakeholders and external vendors to align AI initiatives with business goals. Establish light-touch governance structures, including RAID logs, benefits tracking, and post … SAP, Workday, and familiarity with Microsoft collaboration tools. Comfortable working in fast-paced, agile, entrepreneurial teams with a proactive mindset. AI & Technical Knowledge Practical understanding of key AI/ML concepts such as LLMs, predictive analytics, and responsible AI. Awareness of data privacy, security, and ethical considerations in deploying AI in HR. Experience with AI tools and platforms is advantageous More ❯

C or Fortran). - Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. - Strong numeracy and understanding of mathematical modelling. - Experience with CUDA, multithreading, AI/ML would be advantageous. - Any exposure to 3D/2D graphics development (OpenGL, Vulkan) would be beneficial. The company offers an excellent remunerations package including annual bonus and significant enhanced pension … is available for applicants who meet all the requirements and most of the desirables. Keywords: C++, .NET, C/Fortran, Real-time Modelling Software, Algorithms, Maths Modelling, AI/ML, Graphics, Onsite Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal More ❯

impactful audits across cybersecurity, cloud, IT infrastructure, data governance, and more Collaborate with audit and business teams to assess and manage key technology risks Evaluate emerging technologies like AI, ML, and RPA for control and governance gaps Contribute to planning, executing, and reporting audits with a strong internal team Influence and challenge stakeholders to improve business processes and resilience Experience … s Financial Services Code and the International Professional Practice Framework Comfortable using data analytics in audits Relevant certifications such as CISA, CSSP, or CIA Exposure to emerging technologies (AI, ML, RPA) and associated risk assessments InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably More ❯

experience with complex enterprise SaaS solutions. The role is deemed outside IR35. Key Responsibilities Design, develop, and deploy AI-powered features using C#/.NET technologies. Integrate AI and ML components into existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET … maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track record of delivering or integrating AI/ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is More ❯

experience with complex enterprise SaaS solutions. The role is deemed outside IR35. Key Responsibilities Design, develop, and deploy AI-powered features using C#/.NET technologies. Integrate AI and ML components into existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET … maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track record of delivering or integrating AI/ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is More ❯

experience with complex enterprise SaaS solutions. The role is deemed outside IR35. Key Responsibilities Design, develop, and deploy AI-powered features using C#/.NET technologies. Integrate AI and ML components into existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET … maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track record of delivering or integrating AI/ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is More ❯

both clients and the business. The Role Lead all data science efforts across the organisation Design and optimise risk assessment and trading products Apply crypto-specific quantitative analysis and ML models to enhance trading performance Collaborate with senior stakeholders across product, finance, and engineering The Person Strong background in data science or quantitative trading, ideally within a crypto exchange Expertise … in applying quantitative and ML models to trading applications Experience leading teams and managing stakeholders in fast-paced environments Reference Number: 261973To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Rise Technical RecruitmentThis vacancy is being advertised by Rise Technical Recruitment Ltd. The services of Rise Technical Recruitment Ltd are More ❯