101 to 125 of 778 Machine Learning Jobs in the South East

experience in developing and deploying AI applications in real-world environments. Nice to Have Experience with other data engineering tools and technologies. Knowledge of Machine Learning/AI and data science concepts. Accountabilities To build and maintain the systems that collect, store, process, and analyse data, such … security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

organisation functions to contribute to achieving the goals of the business. Nice to Have Experience with other data engineering tools and technologies. Knowledge of Machine Learning/AI and data science concepts. Accountabilities To build and maintain the systems that collect, store, process, and analyse data, such … security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

models. Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries. AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes. Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence … workflow design at enterprise scale. Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments. Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact. Exceptional problem-solving, communication, and stakeholder management skills. Curiosity, adaptability, and a drive ...

analytics projects to support business objectives. Collaborate with stakeholders to identify opportunities for leveraging data-driven strategies. Oversee the development and deployment of machine learning models and algorithms. Manage and mentor a team of data scientists and analysts. Ensure the quality and accuracy of data used for decision … LangChain, LangGraph, Haystack LlamaIndex, CrewAI, AutoGen, Transformers (Hugging Face) and RAG pipelines. Proven experience in leading teams and managing complex AI projects. Expertise in machine learning, data modelling, and advanced statistical techniques. Strong programming skills in relevant languages such as Python or R. Exceptional problem-solving skills ...

engineering teams to maintain robust data infrastructure. Analytics and Insights: Design and oversee complex data analysis projects to derive actionable insights. Utilize statistical methods, machine learning models, and advanced analytics techniques. Present findings and recommendations to stakeholders through reports, dashboards, and presentations. Collaboration and Communication: Collaborate with various … ContentSquare), data analytics tools/languages (SQL, Python, R, SAS), and data visualization platforms (e.g., Tableau, Power BI). Strong understanding of statistical methods, machine learning, data mining techniques, data warehousing solutions, big data technologies, and data engineering concepts. Exceptional leadership, team management, and communication skills, with ...

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We're looking for an experienced Frontend Engineer to work closely with product, design … mobile, and machine learning team members to design & build experiences that re-define retail shopping. You'll help help build engaging & intuitive web experiences using highly responsive UI components and real-time data flows. Responsibilities: Design and implement reactive, real-time web interfaces that help manage & redefine what ...

advanced simulation and design tools. Projects that interface with mechanical and thermal analysis tools like FEA and CFD. Opportunities to engage with technologies like machine learning, agentic AI pipelines, and full-stack frameworks. You'll bring experience such as... A degree (2:1 or above) in Computer Science … development (Vue3, TypeScript, Django). Experience with AWS, particularly EKS deployments. Background in mechanical or aerothermal design – FEA, CFD, or turbomachinery principles. Exposure to machine learning pipelines or agentic AI systems. What's In It for You? A chance to work on genuinely ground-breaking engineering projects. ...

advanced simulation and design tools. Projects that interface with mechanical and thermal analysis tools like FEA and CFD. Opportunities to engage with technologies like machine learning, agentic AI pipelines, and full-stack frameworks. You’ll bring experience such as... A degree (2:1 or above) in Computer Science … Vue3, TypeScript, Django). Experience with AWS , particularly EKS deployments . Background in mechanical or aerothermal design – FEA, CFD, or turbomachinery principles. Exposure to machine learning pipelines or agentic AI systems . What’s In It for You? A chance to work on genuinely ground-breaking engineering projects. ...

with appropriate testing, maintaining projects, developing new tools, resolving issues, as well as identifying & using new technology options/techniques in the AI/ML space. In order to be suitable for this role you must have proven experience working in a Python Developer, Web Developer, Full Stack Developer, Software … Engineer, Application Developer, Machine Learning Engineer, Programmer, or similar role focused on Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate ...

Data Scientist - London - 4 Days Onsite Seeking a data scientist to drive analytical and machine learning initiatives within a fast-growing London team. You will help shape data foundations, build end-to-end solutions, and deliver insights that directly influence strategy. Responsibilities: Develop data pipelines using Python, Pandas … Build and deploy machine learning models with PyTorch Create LLM and workflow integrations using LangChain Consolidate and prepare datasets for analysis and modelling Provide clear, actionable insights to technical and non-technical stakeholders Must of worked within a Banking, Financial Services or Buy Side firm. Apply ...

What you'll do Design and own backend architecture for large-scale, data-intensive applications. Develop and optimize APIs that handle complex biological and ML-driven workloads. Build and maintain data pipelines for ingesting, transforming, and serving scientific data at scale. Deploy and manage infrastructure across Kubernetes and AWS, ensuring … robustness and observability. Drive system reliability through automated testing, monitoring, and fault-tolerant design. Collaborate across disciplines, working with ML engineers, biologists, and platform teams to ensure seamless integration between computation, data, and science. You should have Deep experience building and scaling backend systems and distributed applications. Strong coding skills ...

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We're looking for an experienced Backend Engineer to work closely with product, design … mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You'll work across the backend stack, real-time data flows ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You're going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You'll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over ...

meet and exceed user requirements. We specialise in Software Engineering, Modelling & Simulation, Robotics & Autonomous Systems, Synthetic Environments, and AI & Machine Learning (ML). Our team provides, adaptable and highly skilled capability, with a range of specialities to ensure that the right techniques are used to solve your problem. … internal and external training opportunities, with specialist sector organisations and in-house courses. You will have exposure to subject matter experts and additional online learning packages. The role comes with a competitive benefits package including pension (7% company contribution), additional holiday purchase options, private health care, life assurance ...

sectors and specialist areas. You could be taking on the role of BI Developer, Robotic Process Automation (RPA) Consultant, Data Engineer, Data Scientist or Machine Learning Engineer. Whatever your experience, we can help you progress from where you left off, whether at mid, senior or lead consultant level. … Within the FDM Skills Lab you’ll receive upskilling in business intelligence practices, like diverse data modelling, warehousing, engineering and machine learning, whilst developing proficiency in tools used to forecast, analyse and harness data, to help refresh your skills and build on your experience. There are progression opportunities ...

Collaborate across Arrows' international network to cross-sell opportunities Experience Minimum of 2 years' 360 recruitment experience, within emerging technologies such as data, AI, ML or datacentres Proven success recruiting for the US market (perm placements essential) Strong business development and client acquisition skills Track record of exceeding financial … performance targets Knowledge of Data, AI, ML or Cloud technologies Perks and Benefits Holiday – unlimited annual leave and Christmas shutdown Wellbeing – Hybrid working, home office setup budget, private healthcare, EAP with Health Assured, subsidised gym membership High Achiever Incentives – Up to 30% commission, bonuses for consistent billing, monthly and quarterly ...

lead and grow the Data Science team. Key Responsibilities: Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations … with a 2:1 or above. Strong programming skills in Python and R. Solid understanding of statistical analysis and quantitative methods. Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.). Strong analytical mindset and attention to detail. Ability to present findings clearly to technical ...

Signal Discovery: Analyse historical and real-time market data to identify patterns, new trading opportunities, and potential alpha signals. Quantitative Analysis: Apply statistical methods, machine learning, and time-series analysis to generate actionable insights and support data-driven decision-making. Collaboration: Work closely with other researchers, technologists … Java; familiarity with KDB+ (Q) is advantageous. Experience with large-scale market data and statistical modelling is key. Quantitative Expertise: Knowledge of statistical methods, machine learning, model calibration, optimisation, and risk management techniques. Education: Advanced degrees (Master's or PhD) in Mathematics, Statistics, Physics, Computer Science, Engineering ...

elite technical and scientific talent. What you'll do: Own the end-to-end recruiting process for high-priority technical roles, ranging from Machine Learning Engineers and Research Scientists to Computational Chemists and Lab Automation Specialists. Develop creative sourcing strategies to identify and engage passive talent from … possess a strong track record of hiring for complex technical profiles. You effectively understand the nuances between different engineering and research disciplines (e.g. Machine Learning, MLOps, Software Engineering, etc.) and can credibly screen candidates for different types of roles based on technical requirements. Ideally, you have experience recruiting ...

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 ...

these AI solutions to ensure they meet user needs and drive meaningful impact in both healthcare and accessibility domains. Responsibilities: Develop and optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR … implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions for our products, leveraging multi-modal AI (text, image, audio). Adhere to data privacy regulations (GDPR, MDR, HIPPA, EHDS ...

Develop and manage hydrological methods within national water resource and flood modelling platforms Contribute to industry-standard flood estimation and hydrological software tools Apply machine learning techniques to enhance existing hydrological models Analyse complex spatial and temporal datasets Translate scientific research into commercial-grade software and tools Liaise … Degree (2:1 or above) in Hydrology, Environmental Science, Civil Engineering or similar Strong Python and/or R coding capability Experience applying machine learning to environmental or water datasets Solid grounding in hydrology, flood risk or water resources Confident communicator with both technical and non-technical audiences ...

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 ...

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 ...

LLaMA, DeepSeek, etc.). Agent-based architectures, RAG, prompt engineering, chatbots, classification, summarization, speech-to-text, image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine). Familiarity with data platforms like Dataiku, Databricks. Strong software engineering fundamentals … Science, Engineering, or a related discipline with a strong technical portfolio in AI/ML. Demonstrated hands-on experience developing and deploying AI/ML solutions. Strong applied AI skills (through academic projects, internships, or personal contributions) Technical depth and hands-on proficiency. A problem-solving mindset and ability ...