51 to 75 of 342 Machine Learning Jobs in the South East

Machine Learning Engineer (Voice) - London An AI-native engineering org. Agents across coding, reviewing, QA, ops, support, scheduling. You'll help turn the company itself into an intelligent system. Speech-to-speech agents that feel like a person in the room. Interruptions, back-channels, noisy kitchens, hearing aids ...

Description The Data Scientist helps develop methods to accelerate and scale new and existing workflows, leveraging machine learning techniques for improved use of data across the company. They maintain the deep learning models behind much of Perspectum’s automated image analysis capabilities while also working closely with … Good oral and written communication skills Ability to work independently and as part of a team Good organisational skills Experience in artificial intelligence/machine learning/data science Experience in prototype coding (e.g. Python, MATLAB) Understanding of the importance of algorithmic validation Desirable Master’s degree ...

responsibly and at scale. Must-Have Proven Production Experience: You have lived it, breathed it. Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. … communication style. 1-hour Technical Interview: General technical questioning. No live coding or hackathon-style tasks. Well explore your experience with AI/ML/GenAI, cloud platforms and modern engineering practices. 1-hour Functional/Competency/Values Interview: Focused on values, your ability to lead and influence ...

Software Engineer at Digital Scholarship at Oxford (DiSc). About you You will hold a relevant PhD/DPhil or have substantial experience of machine learning in a research or industry environment, and have the ability and willingness to combine machine learning research with sustained engagement … with historical and multilingual source material. You will have a strong understanding of deep learning and natural language processing, with practical experience of training, adapting and deploying large language models. You will also be able to process and transform historical, multilingual or otherwise non-standard textual data ...

independent LLM evaluators and calibrated against human clinicians. About You You will have or be close to the completion of PhD/DPhil in machine learning, computer science, computational neuroscience, mathematics, or a related quantitative discipline and possess sufficient specialist knowledge in the discipline to work within established … prompt-based, agentic or multi-agent approaches, using modern Python and LLM APIs. You will also have experience designing and analysing empirical evaluations of machine-learning systems, ideally including simulation-based methods, LLM-as-judge approaches, and validation of automated evaluations against human ratings. Experience with AI safety ...

term (36 months/3 years) About the Role The post holder is a member of the research team for the God and the Machine project, with responsibility for the technical aspects of the project’s experimental work with large language models and other AI tools. … Machine: Frontier Interactions between AI Science and Theology is a research project in the Ian Ramsey Centre for Science and Religion, Faculty of Theology and Religion, University of Oxford, funded by the John Templeton Foundation. The project develops a theological framework for understanding artificial intelligence as a mediating tool ...

systematic equities trading team. The role sits at the intersection of machine learning, quantitative research and systematic trading , developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical … datasets. Experience with distributed computing and Linux is important, while C++ would be a strong advantage. This is the a unique chance to deploy ML models into systematic trading, and ensure your code and work directly generates profit. #J-18808-Ljbffr ...

future direction of the AutoLab AI platform. Essential knowledge, skills, and experience MSc, PhD, or equivalent industry experience in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related discipline. Hands-on experience with frontier foundation models, including autoregressive foundation models such as Large Language Models (LLMs), Vision … Language-Action (VLA) models, as well as embodied AI models and world models. Experience with continuous pre-training, post-training, supervised fine-tuning, reinforcement learning, and other foundation model optimisation techniques. Hands-on experience building end-to-end machine learning pipelines, including data curation, data mixing, model ...

more of the following areas: Exploit development. Secure software development. Vulnerability research skills. Machine Learning model development and understanding of the ML eco-system. Familiarity with vulnerability research tools and frameworks. Understanding of operating systems, networks and system architecture. Reverse engineering. Nice to Have Experience researching AI, machine learning or large language model security risks. Experience turning research ideas into working prototypes, tools or customer-facing demonstrations. Ability to explain technical findings to both specialist and non-specialist audiences. Location & Clearance This role will be based from Romsey, with an opportunity to visit our client sites ...

team members and promote a culture of security awareness AI-Enabled Security Capabilities (Product Delivery Model): Identify, prioritise and deliver artificial intelligence (AI) and machine learning use cases that measurably improve security outcomes – for example vulnerability prioritisation, control assurance and evidence gathering. Own AI-enabled security capabilities … incident response, and governance. Hands-on experience with SIEM, EDR, vulnerability management tools, and cloud-native security services. Demonstrable experience applying artificial intelligence (AI), machine learning or large language models (LLMs) to security use cases, with evidence of delivered outcomes rather than experimentation alone. Experience working ...

identifying new opportunities within Market Pricing, maintaining our rate of improvement of model accuracy. Market Model Development: Developing, analysing and implementing advanced statistical and machine learning models into live pricing. Critically reviewing market models to ensure they are robust and relevant for use across pricing teams. Improving existing … Collaboration: Working closely with Market Pricing, Retail Pricing and Underwriting teams to ensure projects are focussed on the right aims. Working with Data and ML Engineering teams to deploy models and analytical solutions. Help develop best practice and new capability across Market Pricing. Explaining complex modelling work clearly and making ...

Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure using Terraform, Bicep, or similar IaC tools. Work … closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience Strong Python software engineering skills. Commercial MLOps experience in production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML ...

architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops … Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/Machine Learning/advanced analytics Architecture repositories and modelling tools You should be comfortable operating at both strategic and technical levels - able to establish ...

defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. … radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular ...

technical stakeholders. Develop practical software engineering skills through structured mentoring. Technology Exposure You'll gain experience across: Artificial Intelligence (AI) Machine Learning (ML) Natural Language Processing (NLP) SaaS & Cloud Technologies IoT & M2M Solutions Unified Communications (UCaaS) Contact Centre Technologies (CCaaS) Enterprise Software Cyber Security & IT Infrastructure ...

algorithms for the analysis of genomic and transcriptomic data. Translate complex research questions into well‐defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and transcriptomic data. Analyse and interpret large‐scale genomic and transcriptomic datasets … cloud environments (e.g. SLURM, OCI). Experience applying machine learning methods to genomic and transcriptomic data, with an understanding of different ML approaches and their suitability for different biological questions. Demonstrated experience predicting complex traits and phenotypic outcomes from biological data. Proven ability to interpret complex research questions ...

devices collect sensor data, including audio and radar, and connect to our cloud infrastructure for remote management and data transfer. Signal-processing and machine-learning pipelines then transform this data into clinically useful measures such as cough counts, breathing rate and heart rate. Our technology is already deployed … senior, hands-on engineering role spanning a complex, multi-component system including cloud software and infrastructure, data-processing pipelines, signal-processing and machine-learning algorithms, connected devices and supporting applications. Our multidisciplinary platform requires more than simply executing predefined test cases. You will need to develop a deep ...

collaborative environment with plenty of ownership and exposure to cutting-edge technologies. The Role Build scalable data pipelines using Microsoft Fabric and Databricks Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction Work with structured, semi-structured, and document-heavy datasets Create reusable data … Data Engineering Hands-on expertise with Microsoft Fabric and Databricks Advanced Python and SQL skills, with PySpark desirable Experience building data pipelines and machine learning models Knowledge of NLP, entity resolution, or document processing is advantageous Strong communication skills and commercial awareness ...

decisions. Succeed Together. We have each other's backs. The Role This is applied data science. You will use advanced analytics and machine learning to understand our customers better and solve problems that genuinely matter to the business, working with customer, booking, digital, marketing and behavioural data. … into structured analytical problems and testable hypotheses. Explore complex behavioural and transactional data to find what others have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design ...

translate business needs into clear requirements for technical teams and communicate technical capabilities and constraints to non-technical stakeholders. An awareness of AI and machine learning concepts and a strong interest in developing knowledge of emerging AI technologies. The role does not require hands-on model development, data … face value. Strong collaboration and influencing skills, with the ability to drive clarity and progress without direct authority. Desirable Previous experience working on AI, machine learning, data or emerging technology initiatives. Experience within insurance or financial services. Experience working within research, innovation or R&D environments. Experience supporting ...

management in a regulated environment. Help shape the Microsoft Azure and Databricks data science environment, including the organisation's approach to deploying and managing machine‐learning models. Develop practical AI and external data strategies, prioritising opportunities supported by clear business cases. Build and develop the internal data science … diligence discussions by articulating the organisation's capability, progress, governance and future roadmap. Skills and Experience Significant, demonstrable experience in data science, machine learning, predictive modelling or a closely related discipline. Deep practical expertise across the complete model lifecycle, from data preparation and development through to deployment ...

pipelines and reusable data assets using Microsoft Fabric and Databricks. Designing scalable lakehouse data models and governed datasets. Conducting exploratory data analysis and developing machine learning models. Applying NLP, entity resolution and information extraction techniques to document-heavy datasets. Deploying analytical solutions into production through APIs, pipelines … skills, with strong PySpark experience Hands-on expertise with Microsoft Fabric and Databricks. Experience building production-grade data pipelines, reusable data assets and machine learning solutions. Experience communicating technical concepts and business impact to non-technical stakeholders. Experience with Git, testing frameworks, APIs and CI/CD practices. ...

develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets to uncover trends, patterns and opportunities Build and deploy advanced analytics and machine learning models Collaborate with data engineering teams to shape data pipelines Lead, mentor and develop a team of analysts Work closely with senior … Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part of a high‐impact, growing analytics ...

topics for customers across the defence, security and commercial sectors. The Data Applied Research group has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs and graph based neural nets, AI for RF and EW, sonar and acoustics and you will have the opportunity to work … obtain, a 2:2 in your undergraduate degree in a relevant STEM subject such as Computer Science, Data Science (DS), Machine Learning (ML), Artificial Intelligence (AI), Robotics, Electronic/Electrical/Aerospace Engineering and Physics. An AI related Masters degree will also be beneficial for future Graduate roles. ...

while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using … across model development or strategy Strong SQL skills alongside Python or SAS (Python preferred) Experience with statistical modelling techniques such as logistic regression or machine learning Excellent communication skills with the ability to present to clients and senior stakeholders THE BENEFITS Up to £75,000 salary Hybrid working ...