1 to 25 of 306 Permanent Machine Learning Jobs in the South East

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 ❯

with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a … AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with the latest advancements in AI and machine learning technologies We think you'll be successful in this role if you have some of the following Proven experience in AI and machine learning, with More ❯

Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data … environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and talented Associates … all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all More ❯

and improvement. Implement changes to enhance efficiency, reliability, and scalability. Technical Leadership and Mentorship: Provide mentorship and leadership to the data engineering team, fostering a culture of collaboration, continuous learning, and innovation. Guide and support data engineers in their professional development and ensure adherence to best practices. Advisor Role: Serve as a trusted advisor to the Director of Data … Strong verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders and collaborate effectively with diverse teams and clients. Preferred Skills: Knowledge of machine learning and AI technologies. Experience with big data tools and techniques. Familiarity with data visualization tools and reporting software. Builds open and trusting relationships Acts in the organisation 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 ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

advancements in generative AI, transformer architectures, and retrieval-augmented generation (RAG) techniques. Ensure the data security standards are met, in conjunction with the Information Security team Manage AI/ML projects and mentor junior team members Experience: Extensive experience in data collection, preprocessing, and integration from various sources, ensuring accuracy, consistency, and handling missing values or outliers. Proficient in designing … applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. … LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers. BigQuery: Advanced knowledge of data warehousing/analytics, BigQuery ML for in-database machine learning, query optimization techniques. Google Cloud Storage (GCS): Experience with data lake management, storage/retrieval processes, lifecycle management. Desirable ITIL Foundation in IT 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 ❯

external technology vendors. Strong Story Telling skills - excellent communication, with senior management exposure. Deep understanding of business drivers/processes and ability to relate segment priorities to associated technology. Learning agility and desire to learn new technology. Strong problem analysis, negotiating and influencing skills. Proven track record to get things done in a matrixed organisation and influencing without authority. … end-to-end data platforms - covering Demand, Supply, R&D, and Commercial. Develop and deliver communication and education plans on analytics data engineering capabilities, standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial … and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity More ❯

Company description: At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable … Spark and PySpark. Implement data partitioning, caching, and performance tuning techniques to enhance Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning initiatives. Workflow Orchestration (Airflow): Design and maintain DAGs (Directed Acyclic Graphs) in Apache Airflow to automate complex data workflows. Monitor, troubleshoot, and optimize job execution and dependencies … development environments. A track record of working effectively global remote teams Desirable: Experience with data modelling and data warehousing concepts. Familiarity with data visualization tools and techniques. Knowledge of machine learning algorithms and frameworks. What we offer: As well as the technical skills, experience and attributes that are required for the role, our shared behaviours sit at the More ❯

Oxford, but we have many flexible and partially remote options. About Us Based in Oxford, Plyable is an award-winning startup that specialises in using the latest AI and machine learning technology to automate the quoting, design and production of tooling and parts for composite (carbon fibre) manufacturing. The demand for composites is surging, particularly in industries such … this, but would not be a part of the role unless desired) Our Culture We are a new player in a traditional manufacturing industry and the team is constantly learning and willing to question the status-quo. We take quality code very seriously. We work in small intelligent teams. We have developer freedom, meaning we have a common goal More ❯

week onsite) - FlexibleSalary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similar role … where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI.A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the … of the analytics team and non-technical stakeholders. Your profileEssential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting More ❯

home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions. ML Ops Engineer Crawley Thales Group's global CortAIx initiative already employs over 600 AI and data specialists, being the first patent applicant in AI for critical systems in Europe with … AI innovation, bringing together cutting-edge technology, talent, and research to deliver AI solutions that are ethical, transparent, explainable, and operationally effective. We are actively recruiting for an experienced ML Ops Engineer to work with our existing CortAIx team at our site in Crawley. Primary Purpose of the Role: To drive the evolution and deployment of Data and AI capabilities … businesses and to our customers in order to increase growth in orders and increased customer satisfaction. As part of a newly established software development team, the Factory AI/ML Ops Engineer will work with both the development team and the end user in Thales UK businesses. Supporting the Thales UK Digital and Data strategy the Software support engineer will More ❯

enabling colleagues across Rentokil Initial to get value from data To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. … applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine … Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 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 ❯

Company description: At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable … using Apache Spark and PySpark Implement data partitioning, caching, and performance tuning for Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning initiatives. Workflow Orchestration (Airflow) Design and maintain DAGs (Directed Acyclic Graphs) in Airflow to automate complex data workflows Monitor, troubleshoot, and optimize job execution and dependencies Team … environments A proven track record of working effectively global remote teams Desirable: Experience with data modelling and data warehousing concepts Familiarity with data visualization tools and techniques Knowledge of machine learning algorithms and frameworks What we offer: As well as the technical skills, experience and attributes that are required for the role, our shared behaviours sit at the More ❯

improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge More ❯

decide on next steps. Own Your Responsibilities : Your work will directly affect our product and be deployed into production. What Were Looking For 2+ years of professional AI/ML engineering experience (or equivalent). Python expert with strong software engineering fundamentals. Experience with DevOps/ML Ops practices: CI/CD pipelines (e.g. GitHub Actions), containerisation (Docker), automated testing More ❯

on-road and off-road applications, utilising state-of-the-art robotics and AI algorithms. You will collaborate extensively across the company, working closely with other Planning teams (like Machine Learning and Trajectory Planning), upstream teams (such as Perception), and various other groups in a highly cross-functional environment. Your Team You will join our Planning Team, where … architecture and strategic direction of your team, and overall shape the development of the Oxa Driver. Promote a cross-functional development style and closely collaborate with routing, trajectory planning, machine learning, and other teams to achieve human-like, predictable, and safe AV driving behaviors. Drive the adoption of engineering and software development best practices in your team. Create … development skills, including modern C++ algorithm development and deployment in a production environment. Deep understanding of modern software engineering practices, including automated testing and CI. Understanding of AI/ML techniques for decision making and/or motion planning in the AV space. Extra kudos: A customer-obsessed mindset. We value people who relentlessly try to anticipate and prioritise the More ❯

Salary Range : £40,000 - £50,000 yearly Employer : GE Aerospace Job Description Summary The Data Scientist will work individually or as part of a team to develop advanced analytics, ML and AI solutions which bring demonstrable value to GE Aerospace. You will be able to quickly assimilate customer requirements and translate these into working solutions. In this role you will …/Engineering Sciences; Data Science; Computer Science; Mechanical/Aeronautical Engineering) with some relevant work experience. Technical Skills Analytical scripting skills - Python preferred. Knowledge of and experience of using Machine Learning/AI and advanced statistics. SQL and Version Control (e.g. Github) experience useful. A keen interest in Data Science/Analytics and working in commercial Aviation. Flexible More ❯

Do : Design, develop, and deploy machine learning models that solve real-world problems. Collaborate with cross-functional teams to improve production systems and ensure seamless integration of ML models. Drive the ML life cycle from data ingestion to model deployment and monitoring. Implement CI/CD pipelines and leverage DevOps practices to enhance operational efficiency. What You Need … A relevant BSc/MSc degree in a related field with strong industry experience. Proven expertise in ML engineering and MLOps, with a solid understanding of AI/ML model deployment processes. Hands-on experience with supporting and improving live production systems. Familiarity with web server and API designs for ML model deployments. Strong Python skills, particularly in relevant data … in GenAI/NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing, and model explainability is a plus! This is your chance to elevate your career and work on impactful ML projects! If you're excited about the world of machine learning and ready to make a mark, we want to hear from you! How to Apply : Send us More ❯

all of the following Relational or non-relational databases using SQL or NoSQL Data Engineering skills using Python Modern Analytics architectures - Data Lakes/Data fabrics/Data mesh. Machine Learning and Generative AI use cases HTML, JavaScript, Angular XML, XSLT, JSON, SOAP, REST Cloud hardware services, containers, kubernetes, etc. Windows, Unix/Linux, MAC OS X API More ❯

system support, monitoring & troubleshooting. Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc Experience with AI and/or Machine Learning Project planning and management experience. Experience with finance systems i.e. Sage, Qube, IRIS or similar. Experience with CRMs such as HubSpot or similar. Adecco acts as an More ❯

technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments. Service & Project Oversight More ❯

technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments. Service & Project Oversight More ❯