76 to 100 of 375 Machine Learning Jobs in the South East

Technical Support/Graduate IT Enginee r 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Sience, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT … going basis. Must have excellent client facing, problem solving skills, and solid attention to detail. Salary 37-38k. (Training in Software Development, AI technologies, IOT, Contact Centre application, Machine Learning, SaaS, Cloud Applications), and more. Very Much of a Customer facing CX ROLE. Our clients take pride in their core beliefs of teamwork, quality and agility. Time … Person : Technical Supporting/Graduate Software Developer 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL More ❯

Research Scientist £70,000 GBP Hybrid WORKING Location: Chelmsford, Central London, Greater London - United Kingdom Type: Permanent Senior Research Scientist - Data Science & Machine Learning Location : Chelmsford (Hybrid: 2 days onsite/week + occasional SE travel) Salary: circa £70,000 + 10% bonus Hours: 37 per week Role Overview: This is a senior technical position within the Advanced … Information Processing team, focused on applying AI and machine learning to time-series and sequential decision-making problems. The role involves leading high-value research initiatives for defence … security, and commercial customers. You will work across multiple domains including radar, RF, acoustic signal processing, autonomy, and sensor fusion. Key Requirements: PhD or equivalent experience in AI/ML or statistical signal processing Strong Python programming and use of ML libraries (e.g., TensorFlow, PyTorch) Demonstrated experience with sequential data and real-time decision systems Ability to mentor junior colleagues More ❯

part of a talented team of analysts, scientists, engineers, and developers, working on mission-critical systems that support our global research operations. What You'll Do Develop and deploy machine learning models to detect fraudulent panellists and improve panel quality. Contribute to the full data science lifecycle: hypothesis generation, model development, deployment, and monitoring. Analyse new data sources … to identify opportunities for model enhancement and decision-making improvements. Design and implement feedback loops to drive better data quality and commercial outcomes. Apply supervised and unsupervised learning techniques to build scalable, production-ready solutions. Collaborate with developers to ensure robust, high-availability systems that run 24x7x365. Create and maintain data pipelines and monitoring tools. Communicate technical insights to … experience in fraud detection, anomaly detection, or similar quality assurance domains. Strong proficiency in Python and SQL; experience with R is a plus. Solid understanding of statistical techniques and machine learning algorithms. Experience with cloud platforms and services (AWS, EC2, S3, Redshift, Azure). Familiarity with tools like PowerBI and Excel for stakeholder reporting. Experience in industries with More ❯

a highly motivated Research Scientist to lead work in knowledge and semantics. This role offers the opportunity to lead a specialist R&D team working at the intersection of machine learning, NLP, and graph technologies, contributing to real-world challenges across defence, security, and commercial sectors. Key Responsibilities: Lead a team of researchers and engineers across projects involving … NLP, knowledge graphs, and LLM applications Design and deliver research programmes, collaborating with universities and innovation partners Develop prototypes, proof of concepts, and technical solutions in graph machine learning and semantic technologies Secure funding through successful proposal writing and manage stakeholder engagement Contribute to multi-disciplinary teams including work in reinforcement learning, computer vision, RF & EW, and … minimum of 4 years' postdoctoral or commercial research experience Proven leadership of R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch More ❯

performance system that tackles a fascinating range of technical challenges. From massive-scale data handling with caching and persistence requirements to interprocess communication, low-level networking, or integration of machine learning workloads on GPUs, the system touches on almost every aspect of modern software engineering. A heavily multi-threaded runtime adds another layer of depth for those who … make in advance of commencing the interview process with us. Learn more about our culture here Why become an Oxbot? Our team of engineers, mathematicians and experts in AI, machine learning and much else is truly world-class. They are solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have More ❯

focus. Role Dimensions: The role sits in the Aero Performance team who are responsible for directing the development of existing and new technologies to maximise on-track performance and learning, to influence the wider team. The role will involve close cooperation with other members of the Aero Performance team, the Wind Tunnel Technology team as well as R&D … can inform decision-making processes. Develop and implement statistical models and algorithms to optimize aerodynamic performance. Apply statistical techniques to identify correlations and causations that impact overall performance. Utilize machine learning algorithms and techniques to uncover insights from structured and unstructured data sources. Create visually compelling and intuitive dashboards, reports, and visualizations to communicate data-driven insights to … key stakeholders, including aerodynamicists, race engineering, and team management. Stay abreast of the latest advancements in data science and machine learning. Explore new methodologies, tools, and technologies that can enhance the team's analytical capabilities and gain a competitive edge. Collaborate with cross-functional teams, including race engineers, vehicle dynamics experts, and aerodynamicists, to integrate data insights into the More ❯

tools and techniques. Actively contribute to the continuous improvement of Hawk-Eye's analytics processes and methodologies, sharing knowledge and expertise with team members to foster a culture of learning and collaboration. What We're Looking For Bachelor's degree or equivalent in Statistics, Data Science, Physical Sciences, Biomechanics, Computer Science, Mathematics, or a similar related field. Knowledge of … date with industry developments. Bonus Points For Experience with sports data is ideal but not essential. Familiarity with sports performance and biometric data analysis would be nice. Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn. Any experience working with large, complex data sets and managing data pipelines, ensuring data quality and integrity. … Some experience in data analysis, predictive modelling, or machine learning, including academic or placement/internship experience. At Hawk-Eye Innovations, we value diversity and treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or More ❯

healthcare and operational data into actionable insights that directly improve quality of care across thousands of lives. If you want to push the boundaries of predictive analytics, benchmarking, and machine learning in a purpose-driven environment, this role is for you. What You'll Do Lead data exploration, hypothesis testing, and advanced statistical analysis to drive product features … implement robust benchmarking methodologies to compare performance across 200+ clinical and operational metrics. Build predictive insights that highlight trends, correlations, and risk factors (e.g., falls, infection prevention) using Azure Machine Learning and the wider Microsoft Azure data stack. Develop scalable, reusable workflows with Azure Data Factory, Synapse Analytics, and Databricks. Work closely with developers and product managers to … What You'll Bring Proven experience in data science with a strong track record in predictive modelling, correlations, and trend analysis. Hands-on expertise in the Azure data and ML stack (AML, Data Factory, Synapse, Databricks, Data Lake). Advanced Python and SQL skills, plus experience building and deploying supervised and unsupervised models. Strong statistical knowledge, especially in benchmarking techniques More ❯

functional and high-fidelity, cycle-accurate models of our optical compute system. This is a high-leverage role that sits at the intersection of hardware design, software tooling, and machine learning workloads—ideal for engineers who thrive on data-driven decisions, rapid iteration, and solving complex … performance challenges. Key Responsibilities End-to-End Ownership : Lead and deliver critical projects that enable major technical and business milestones. Cross-Functional Collaboration : Work closely with hardware, compiler, and ML framework teams to ensure performance models are both accurate and actionable. Simulator Development : Build and maintain a functional simulator of the OTPU pipeline and subsystems. Develop architectural and cycle-accurate … decisive insight. Preferred Qualifications Advanced degree (Master's or PhD) in Electrical Engineering, Computer Science, Physics, Applied Math, or a related field. Open-source or personal projects involving simulators, ML kernels, or performance analysis. This role offers a unique opportunity to shape the direction of optical compute at a foundational level. If you're excited to work at the cutting More ❯

functional and high-fidelity, cycle-accurate models of our optical compute system. This is a high-leverage role that sits at the intersection of hardware design, software tooling, and machine learning workloads—ideal for engineers who thrive on data-driven decisions, rapid iteration, and solving complex … performance challenges. Key Responsibilities End-to-End Ownership : Lead and deliver critical projects that enable major technical and business milestones. Cross-Functional Collaboration : Work closely with hardware, compiler, and ML framework teams to ensure performance models are both accurate and actionable. Simulator Development : Build and maintain a functional simulator of the OTPU pipeline and subsystems. Develop architectural and cycle-accurate … decisive insight. Preferred Qualifications Advanced degree (Master's or PhD) in Electrical Engineering, Computer Science, Physics, Applied Math, or a related field. Open-source or personal projects involving simulators, ML kernels, or performance analysis. This role offers a unique opportunity to shape the direction of optical compute at a foundational level. If you're excited to work at the cutting More ❯

track record of high-quality publications. - Collaboration & Communication : Strong interpersonal skills with the ability to communicate effectively and work with people from diverse technical and non-technical backgrounds. - Innovation & Learning : Eagerness to explore and learn new technologies, initiate collaborations, and contribute … to successful proposals or funding bids. - Robotic manufacturing processes (e.g., laser cleaning, cutting, additive manufacturing, surface preparation, inspection). - Radiation hardening or radiation-tolerant electronics. - Machine learning (ML), artificial intelligence (AI), or digital infrastructure. - Mechanical systems, including sensing, non-destructive testing, and actuation mechanisms. - Dynamic modelling and systems identification. - Control theory and intelligent control systems for manipulation or More ❯

will focus on AI development for the turn-based Total War Campaign. Please be aware that although the AI Team, and CA more widely, have a keen interest in machine learning and related techniques, this developer position is focused on more traditional search and optimisation processes. Candidates with a primarily machine learning (or similar) background would More ❯

have multiple portfolios across both unsecured lending and secured lending. You will be working with experts across the industry to validate risk models across the business using AI and Machine learning modelling. The Role As a Model Validation Manager , you will be: Validating Credit Risk models like IFRS9 (PD, EAD, and LGD) Using analytics skills to improve credit … risk models and model review practices Validating wider risk models covering AI, machine learning, reporting, and operational risk models Working with senior leadership to present findings of validation exercises. Using tools like SAS, SQL, R and Python daily. Your skills and experience To be successful as a Model Validation Manager , you will need: Strong experience with SQL and More ❯

Radio communications and Digital Signal Processing (DSP) techniques Software Defined Radio (SDR) and RF techniques Software Development Development of communication waveforms Artificial Intelligence (AI) and Machine Learning (ML) And, you'll have a rounded skill set including: The ability to identify problems and possible solutions, considering all angles and implementation approaches Competent technical knowledge across disciplines; actively engaged … in learning new ideas Confidence in articulating problems and solutions to peers and customers, both verbally and in writing Experience taking responsibility for project components, ensuring awareness and tracking against budgets and milestones Requirements An electronics degree from a top UK university Already have full eligibility to work in the UK Eligible for UKSV (SC) security clearance Benefits The More ❯

natural language processing, and knowledge graph technologies. This role sits within a cutting-edge AI team supporting national security, defence, and commercial clients. You will design and prototype advanced machine learning systems, contribute to proposal development, and lead small technical teams in delivering impactful innovation. Key Requirements PhD with a minimum of 4 years' postdoctoral or commercial experience … Expertise in NLP, LLMs, graph machine learning, or semantic reasoning Proficient in Python and familiar with frameworks such as TensorFlow or PyTorch Experience leading technical teams and securing external R&D funding Benefits 10% annual bonus Hybrid working model with flexibility (minimum 2 days onsite) Access to high-impact national programmes and cutting-edge AI projects Opportunities for More ❯

time series analysis and develop platform and environmental noise compensation techniques that enable high quality magnetic- and gravity-aided navigation using state-of-the-art digital signal processing and machine learning methods; Use data analytics to translate quantum sensor data streams into capabilities that solve pressing challenges for current and prospective end-users and customers; Work closely with … magnetic signature and/or platform motional characterisation and management; magnetic and/or vibrational signal denoising; quantum sensing and/or other sensing technologies. Knowledge and experience of machine learning methods to time series data including generative modelling. Contributing to a software system architecture with multiple components developed by different teams, adhering to best-practice software development More ❯

bonding events - lunches, activities, and company socials Inclusive, fast-paced culture that values innovation, impact, and collaboration Responsibilities Design and develop custom automation systems for fiber optic manufacturing using machine vision, precision motion, and creative mechanical design. Collaborate with operations and process teams to convert manual assembly into scalable, automated solutions. Build, test, and optimize automation machines-from CAD … production floor. Lead refinement of legacy automation systems using statistical analysis, DOE methodologies, and production feedback. Work with software, firmware, and data science teams to integrate computer vision and machine learning into real-world production workflows. Requirements Prior experience as an Automation Engineer, Controls Engineer, or Senior Automation Engineer Bachelor's degree in Mechanical Engineering, Electrical Engineering, Robotics … concept to deployment Proficiency in motion control, including stepper and servo motors, robotics, and collaborative robots. Knowledge of sensor integration and signal conditioning, including computer vision, RFID sensing, and machine learning algorithms. Experience in mechanical and hardware design, including Solidworks design and PCBA design and integration. Commutable to Aurora, IL More ❯

Graduate Technical Engineer - South East England, £35-38k - Clients are a very smart, Intelligent company working on Next Level Technologies, Software and Applications. AI, Machine Learning, NLP, IoT, IT Security, Contact Centre applications, SaaS, Cloud, and much more. Graduate Technical Engineer, £35-38K BASE Salary Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who … want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT Security, and Project applications, the list goes on, 2:1 or above with A Levels A-B Grades or BTEC at Distinction Level. Smart and Intelligent company are really looking forward in working with smart and intelligent Graduates, The Role of … customer service at all times The Person 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL More ❯

Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity, please More ❯

the team and will use their knowledge across Python, cloud technologies (AWS), databases, Kubernetes, Terraform and microservice architecture to design and build key platforms for the business, that utilise Machine Learning and AI to analyse complex medical imaging data, whilst mentoring and leading more jnuior Developers. The Company The Lead Developer will join an innovative Machine Learning … working in other regulated industries that require documentation would be applicable Experience of developing applications that process complex data such as imaging or video, especially those that have an ML or AI component would be highly beneficial The list above is important, but not as important as hiring the right person! So if you don't meet all of the More ❯

finance space, whether from another hedge fund, proprietary trading firm, or a front-office role in investment banking. A strong background in statistical arbitrage is essential, and exposure to machine learning techniques is a strong bonus. Key Responsibilities Conduct research and development of alpha-generating systematic equities strategies, with a focus on statistical arbitrage . Analyze large, complex … datasets to uncover new trading signals and improve existing models. Apply machine learning methods to improve predictive power and ensure robustness of strategies. Perform rigorous backtesting and optimization using a Python-based infrastructure. Collaborate closely with portfolio managers, data scientists, and technologists to deploy strategies into production. Candidate Profile Prior experience ( 3+ years ) in a quantitative research or … field such as Mathematics, Computer Science, Physics, Engineering, or Statistics. Deep understanding of systematic equity investing and statistical arbitrage frameworks. Proficient in Python for research and prototyping - experience with ML libraries (e.g., scikit-learn, TensorFlow, XGBoost) is a strong plus. Strong mathematical and statistical skills, with a keen eye for detail and performance optimization. Comfortable working independently and as part More ❯

Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292 My client, a cutting-edge start-up within the AgriTech space, is seeking a Bioinformatician with experience in designing and developing NGS pipelines for the analysis of non-model species to join their growing R&D team click apply for full job details More ❯

Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292 My client, a cutting-edge start-up within the AgriTech space, is seeking a Bioinformatician with experience in designing and developing NGS pipelines for the analysis of non-model species to join their growing R&D team. This is an exceptional opportunity to work on breakthrough innovations that More ❯

individuals from various areas of expertise Integrate algorithms within complex Seeker models Undertake system studies and performance analysis Foster innovation, including the use of agile methods, process improvements, and machine learning/AI in our products Skill and Experience; Algorithm development Identification, Planning and Running of investigations to inform systems design Data analysis Desirable Experience; Modelling and coding … significant experience of MATLAB and ideally Simulink) Knowledge of RF systems and digital signal processing Experience in forming hypotheses and creating the method to prove them. Technical report writing Machine Learning and AI Company Benefits; Bonus : Up to £2,500 (based on performance). Pension : Up to 14% total contribution. Parental Leave : Enhanced parental, maternity, and shared parental More ❯

scale, performance, and innovation. This is a great opportunity to join a collaborative, fast-paced engineering team working on everything from web platform architecture to high-volume APIs and machine learning integration. What you'll be doing: Building and maintaining scalable services using Node.js, React, and modern JavaScript frameworks. Contributing to both front-end and back-end architecture … Helping transition a legacy CMS system into a modular, React-driven application. Participating in code reviews, performance tuning, and infrastructure discussions. Getting involved in new projects spanning ad tech, machine learning, and real-time analytics. What you'll bring: Strong commercial experience with Node.js, React, and client-side JavaScript. Solid understanding of modern web development (REST APIs, SSR More ❯