26 to 50 of 241 Machine Learning Jobs in the South East

Job DescriptionMachine Learning | Fitness | Mobile | B2C | Python | AWSGravitas has partnered with a scaling B2C mobile app business that is on a mission to build a leading fitness training platform to hire for a Senior Machine Learning Engineer to join their team on a permanent basis.Role: Senior Machine Learning EngineerSalary: £70,000 - £85,000 (flexible depending on experience)Benefits: Equity, 25 days holiday, Private health insurance, Pension & moreLocation: London (hybrid - 2/3 days per week in office)Skills/Experience we're looking for:3+ years experience in a similar positionProficient in Python programmingPrevious experience … deploying models to production in a cloud environment (preferably AWS)End-to-end Machine Learning (Data wrangling > Model building > deployment)If this role is of interest, please apply with a copy of your up-to-date CV for review. We are meeting with the hiring team on Wednesday more »

scalability, and accuracy.Stay up to date with the latest AI technologies and techniques, driving continuous innovation.REQUIREMENTS:Strong software engineering skills, with a focus on machine learning and AI.Experience deploying foundational Language Models (SLM/LLMs) in production environments.Proficiency in deploying machine learning solutions at scale.Deep understanding … modelling for search, retrieval, and reranking.Ability to collaborate with various stakeholders, including backend engineers, front-end engineers, and product designers.Additional advantage for experience in ML Ops and deployment across cloud platforms (AWS, GCP, Azure).Practical experience with machine learning techniques for search and retrieval, such as Learning more »

Job DescriptionTitle: Staff Machine Learning EngineerType: PermanentLocation: London - 2-3 days per weekSalary: £120kJoin us in an opportunity to lead a talented team of 5-10 machine learning engineers and data scientists in a global project at the intersection of data and sustainability. As the Staff … Scientist and Team Lead, you will provide technical leadership and strategic direction to the team, designing and implementing AI solutions for sustainability.We seek a ML leader with a proven track record:7+ years of experience leading the design, development, and deployment of complex machine learning solutions.Expertise in product more »

Audio/Speech ML Research (PhD Intern) I am seeking a PhD student within the field of audio and speech machine learning research to join our client in a 6-month internship starting from summer 2024. An excellent opportunity to work on the research and software development of … in Computer Science, Mathematics or similar with strong machine learning and audio/speech fundamentals, and have first author publications in top ML/AI conferences/journals such as ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR Research specialism in one of … working (3 days on-site/2 days from home weekly Interested? This is an excellent opportunity for a PHD-educated Audio/Speech ML Research Intern. Please apply now for immediate consideration and speak with Chris Wyatt who is recruiting for this position in Surrey, UK. more »

leading investors so far, with $140 million raised in the last Series C funding round in January 2023. Your Role As our Senior Engineer (ML Inference), you will take a leading role within your team to develop and deploy efficient machine learning models enabling new behavioural capabilities and … identified and resolved, and drive improvements to product quality, customer experience, and maintainability. You Will Drive the development of performant C++ inference APIs for machine learning models supporting motion planning, and their integration into Oxa Driver™ across multiple platforms. Deploy models to NVIDIA hardware, writing custom C++ and … Degree in Computer Science, Robotics or a related field (e.g., Engineering, Physics, Mathematics). Previous years of relevant professional experience developing and deploying deep learning models in C++ applications. Experience working with modern deep learning frameworks and runtimes (e.g., PyTorch, TensorFlow, ONNX, TensorRT). Experience developing efficient C++ more »

proven foundation in programming (Python and SQL) and a passion for redefining data into actionable insights. Responsibilities Daily Evaluation : assess support tickets related to Machine Learning models/algorithms developed by the Data Science team. Monitoring and Maintenance : lead all aspects of alerts to ensure the ecosystem's … to-day operations and performance. Data Analysis: analyse user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution. Analytics and Machine Learning : run analytics to extract statistics, patterns, and eventually craft machine learning models to improve existing technologies. Work closely with the …/wrangling, analysis, and reporting. Strong proficiency in SQL, with the ability to read, write, and query effectively. A keen curiosity about data, statistics, machine learning, and data science is essential. Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis. Experience with more »

An intriguing opportunity for a Machine Learning Processor Architect with an early-stage start-up developing a unique new processor technology. Our client has offices in London and Oxford, however remote working is also possible. Here the Machine Learning Processor Architect will join as one of … model and drive new architectural features for next generation hardware, and evaluate performance of cutting-edge AI workloads. The right candidate: This role of Machine Learning Processor Architect requires someone that understands the ins and outs of computer architecture, and the nuances of what it takes to optimise … various aspects of hardware-software co-design. Past experience working on performance architecture of GPUs/AI Accelerators is required, with experience with deep learning frameworks (such as PyTorch, Tensorflow). Our client is open to considering candidates at various levels of experience, provided they have the right background. more »

DATA SCIENTISTCustomer & Marketing💰£65k 🏠 Hybrid/London📌Work across a range of clients in retail, telco, automotive and healthcare industries📌Deliver a range of machine learning and AI solutions to support omnichannel customer experience, personalisation and media performance📌 Strong skills with SQL and Python required for predictive analysis … optimisation, optimising media performance and spend, forecasting, propensity modelling, all to support hyper personalisation for customers.Responsibilities:Employ strong technical data science skills to build machine learning models to optimise digital customer journeys; pricing and promotions optimisation, recommenders and media campaign performanceDeliver insights to drive the understanding of customers … from across the business and translate their ambitions and goals into analytical challengesExperience:Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc.Advanced coding skills with SQL, working with large and complex data sets to extract insights and identify more »

Job DescriptionData Scientist/Analyst - London - Hybrid - £50,000-£60,000SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, MatplotlibPlease note: this role does not offer sponsorship, and you must have full right-to-work in the UK to apply (post-study work visa will not be considered … on the lookout for a Data Scientist/Analyst with a financial services background ideally, as well as very strong Python (Pandas, NumPy etc.), Machine Learning, client-facing skills - does that sound like you?The role involves hybrid working (every Monday and Tuesday in the office and three … days from home).Essentials:Excellent quantitative skills.2+ years as a Data Scientist (or analyst using machine learning!)Highly proficient in Python, SQL, and Git.A genuine passion for investments and financial markets.Excellent communication ability, and experience interacting with stakeholders.If you’re inquisitive, hands-on, and committed and this opportunity more »

Will Be Working with a variety of sensors, including cameras, LIDAR, radar. Developing custom algorithms in C++ to improve the algorithm performance of the ML models for perception systems Developing core perception algorithms (C++) for sensor-agnostic static/dynamic object detection and classification. Working alongside ML and C++ engineers … experience of State-of-the-art techniques for 3D Perception algorithms optimisation Strong proficiency in developing and debugging C++ code Experience developing and training Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for learning Coordination of people and milestone tracking Proactive problem solver with strong analytical skills Excellent communication and organisational abilities more »

Job DescriptionTitle: Senior Machine Learning Engineer (NLP)Type: ContractRate: £500-600 per dayLength: 6 monthsLocation: London (Hybrid)We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products!You will:Build … learn to push the boundaries of AI.We're Looking For:Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes).Experience in agile environments (OKRs), excellent communication and collaboration skills, passion for data … science and mentoring, and a desire to share knowledge.PhD/Master's in CS, ML, or related field (preferred), innovative problem-solving skills, proficiency in Python and TDD practices, and a proactive learning mindset.If this sounds like you and you'd like to find out more, apply below with more »

company that specialises in the development of novel therapeutics for autoimmune and neurological diseases! Responsibilities: and implement advanced data science solutions, using AI and machine leaning, with internal and external data to support drug discovery collaboratively with experimental and computational scientists strong background in biologics to establish analytical workflow … statistics, data mining and visualisation of biological data (omics, NGS, and assay data) in integrative analysis of multiple omic data types including advanced statistical, machine learning and deep learning methods (large language models would be highly advantageous) domain knowledge, with a focus on antibodies is highly desirable … the global scientific community! Key Words: Data, Big Data, Bioinformatics, Programming, R, Python, Statistical, Data Mining, Data Visualisation, HPC Unix, Cloud-based, Computational, Deep Learning, Machine Learning, Biological, Biopharma, Biopharmaceutical, Drug Discovery, Omics, Poly-Omics, Target ID, Target Validation, Biomarker Discovery, Oxford, Hertfordshire, Wiltshire, Berkshire, Oxford, Reading more »

day as this position holds massive future potential for growth.Your role will involve:Developing our web application written in Javascript and NextJS;Implementing backend machine learning and data services, and integrating them with our web application.Suggesting and leading internal tools for our team to use that will aid … deploying full-stack web applicationsQuantitative degree from a top universityThe following is DESIRABLE, not essential:Experience with Node.JS to a production levelFamiliarity with various machine learning APIsAn understanding of machine learning techniquesBenefits:Making a serious impact from day one. We're an agile company at the more »

venture-backed by 8VC, revenue-generating, and have multiple years of runway.Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point.This involves:Building edge applications processing vision data and communication layers for the compute-constrained edge devices.Deploying … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch).High intrinsic motivation to succeed and ability to work hard. What we offer £80-120k base Company equity % in an more »

developing and implementing AI solutions to enhance our market research capabilities. You will work closely with cross-functional teams to design, build, and deploy machine learning models and algorithms that extract valuable insights from large datasets. The ideal candidate is passionate about leveraging AI and data science techniques … to solve complex problems and drive business growth.What the Successful AI Engineer will have:2+ years experience as a Machine Learning Engineer or AI Engineer.Proven experience (2 years) in developing and deploying machine learning models and algorithms.Strong proficiency in programming languages such as Python, R, or more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »

have a passion for exploring cutting-edge techniques in computer vision, with strong skills in Python (C++ proficiency is a plus) and experience with machine learning frameworks such as TensorFlow or PyTorch. This role will involve conducting research and developing advanced computer vision algorithms and models, with a … camera environments. Requirements: Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning (beneficial) Strong programming skills in Python; proficiency in C++ is a plus Experience with machine learning frameworks such as TensorFlow more »

the aggregate. You will be responsible for analysing aggregate data across all historic studies, to uncover industry-leading insights through thoughtful data investigations and machine learning algorithms.Our roadmap is ambitious and far-reaching, but manageable. You will be working on projects that you can be proud of and … will have a significant and meaningful impact in the business.ABOUT YOU:We are looking for a hands-on and proactive senior machine learning engineer with a focus on traditional algorithms and an appetite to explore more modern integrations. You will be comfortable taking ownership of projects from inception … setting expectations.WHY JOIN:You’ll be at the forefront of innovation shaping a fast-growing industry 🔥Salary of £80,000 - £105,000 💸The best machine to do your work: a spec’d-out Macbook Pro 💻Share options so you benefit from our success 🚀28 days paid holiday plus bank more »

C funding round in January 2023. Your Team MetaDriver is a suite of tools that combines generative AI, digital twins and simulation to accelerate machine learning and testing of self-driving technology before and during real-world use. You will join our … Oxa MetaDriver Team which is responsible for delivering these technologies to both internal and external customers. It comprises a wide range of disciplines from ML and simulation, to application development, cloud engineering and data capture professionals. Specifically, you’ll be working in the scenario expansion workstream. Your Role As part … and interfaces for large scale traffic simulation. Contribute to the development tools and processes which will support the acquisition of data, scenario generation, and ML frameworks in software-in-the-loop simulation. Collaborate closely with our advanced scenario generation and simulation teams to align simulation efforts with scenario tools and more »

team of 10+. Thanks to growth, they're now looking for an additional senior to join the firm and continue driving growth in the Machine Learning areas of the business. As a senior in the role, you’ll be afforded real autonomy when it comes to making technical … and problem-solving initiatives from existing datasets (ad targeting, up-sell/re-sell opportunities, opportunities for continued engagement).Work within data science and machine learning to continue automating the existing product suite: AI, Chatbots, Actions, Workflows etc.Explore new AI approaches and stay updated on advancements to tackle … with Research/stats involved in programme) Python Programming Language – 4-5+ years of experience in a Data Science settingExperience in AI/Machine Learning + either PyTorch/TensorFlowExperience with NumPy/PandasMatplotlib SQL/MySQL/database experiencePlease note, this is a hybrid position. Candidates more »

have developed a unique analytics and management platform for the hospitality industry which can be used directly by their target market. This software uses Machine Learning to automate processes, optimize pricing and provide visualization of actionable insights that their clients can use.Already partnered with over 10,00 businesses … founders and be fundamental to the growth and development of the company. The RoleYour role within the company will be focused on creating new Machine Learning models for use on their state-of-the-art platform. You’ll be developing and testing new models for forecasting, prediction, and … ll need:MSc OR PHD in a STEM subject – ideally from a top UK universityExperience with Python/TensorFlow/KerasSolid knowledge & understanding of Machine Learning/Data ScienceStrong Time-Series Forecasting Experience ·Research experience is a bonus!On offer is a salary up to £100,000 + more »

lead the development and implementation of an AI ethical framework and governance. The successful candidate will ensure that our use of artificial intelligence and machine learning technologies aligns with regulatory requirements, ethical standards, and industry best practices.Key Responsibilities:Stay updated on emerging trends, technologies, and regulatory landscapes in … requirements.Required Experience & Skills:Proven track record in AI ethics, with a comprehensive understanding of ethical principles, regulatory requirements, and best practices.Familiarity with AI and machine learning technologies.Experience navigating regulatory frameworks such as EU Act and GDPR, with a commitment to compliance and data protection.Join us in shaping the … You'll have the opportunity to actively contribute to the development and execution of ethical frameworks that guide the use of artificial intelligence and machine learning technologies. Your expertise and dedication will play a crucial role in ensuring that our practices align with regulatory requirements, ethical standards, and more »

building cloud solutions to support the activities of machine learning engineers across the company. You will build tools and APIs to support ML teams in every stage of their ML workflows. You will champion automation of the entire ML lifecycle, covering data ingestion, model development, model training, model … management, deployment, serving and monitoring. On a day to day basis you will prototype tools and APIs to allow ML engineers to access cloud based infrastructure developed by your MLOps colleagues, iterating towards a production-ready service. In developing solutions you will carefully consider the skillset of the end user … and design and document tools accordingly. ML team members will come to you as the authority regarding MLOps best practices and you will provide training in the use of in-house and third-party MLOps tools. In addition to supporting ML teams with their custom MLOps requirements, you will form more »

learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering more »

functional leadersUse models like regression and propensity models, time-series, ensemble methods and neural networksSeek out opportunities to make an impact using the latest ML methods (NLP and Gen AI)Be the go-to authority for data products and advanced ML solutionsTranslate complex data models to actionable insightsEnd-to-end … machine learning product development, from data wrangling to model tuning and deploymentProvide insightful storytelling to stakeholders through compelling dashboards and visualisationsLead and oversee intricate data projectsCoach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the teamRequirementsMinimum 4 years’ hands-on experience as … a Data ScientistBSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine LearningDeep expertise in Python (production-level) and SQLProficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deploymentExceptional communication skills, able to engage confidently with non more »