1 to 25 of 139 Machine Learning Jobs in the South East

Senior Machine Learning Engineer – Remote UK - £ 7 5000 We are helping an innovative tech business scale their ML software team. Due to continued growth and demand for their products they now urgently need a Senior Python Machine Learning Engineer to join them ASAP. This role would … suit a Python Machine Learning Engineer who has a strong background in Machine Learning and ideally MLOps. This role is fully remote within the UK but if you do want to use their office they are based in Milton Keynes. To be a successful, the ideal … Python Machine Learning Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As more »

Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can … Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these … Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit more »

solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer the company and role: Its a great time to join the team. The company delivers a range of enterprise level solutions. Its … multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language … models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a more »

Machine Learning Engineer I am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking research and … the successful Machine Learning Engineer will work in a multidisciplinary team to understand the hardware architecture and develop ML models, simulation tools and benchmarking frameworks accordingly. Primary responsibilities Research, implement and optimise state-of-the-art machine learning algorithms to enhance model performance on an AI … performance Develop benchmarking frameworks Essential experience BSc, MSc or PhD in Computer Science, EE, Mathematics or similar Minimum 2+ years in industry as an ML Engineer working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialised more »

Machine Learning Engineer I am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking research and … the succesful Machine Learning Engineer will work in a multidisciplinary team to understand the hardware architecture and develop ML models, simulation tools and benchmarking frameworks accordingly. Primary responsibilities Research, implement and optimize state-of-the-art machine learning algorithms to enhance model performance on an AI … performance Develop benchmarking frameworks Essential experience BSc, MSc or PhD in Computer Science, EE, Mathematics or similar Minimum 2+ years in industry as an ML Engineer working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialized more »

the last Series C funding round in January 2023. Your Team You will join a growing team of computer science and robotics experts leveraging machine learning, data and cloud infrastructure to build and deploy powerful on-vehicle reasoning capabilities. Your work will enable … Oxa Driver™ to plan and execute sophisticated, safe driving behaviours scalably across all of our customer domains. Your Role As our Senior Engineer (Reasoning ML), you will take a leading role within your team to research, develop and deploy machine learning models enabling new behavioural capabilities and improvements … product quality, customer experience, and maintainability. You Will Take a leading role within your team to research, develop and deploy state of the art machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles. Create and curate datasets for training and validation more »

C++ Machine Learning Engineer I am seeking an experienced C++ Machine Learning Engineer to work on deep learning models applied to embedded systems. For this position, you must be able to work on-site in Surrey, England at least 3 day’s a week and … frameworks for AI Required experience MSc or PhD in Computer Science, Mathematics or similar At least 3 years of industry experience working on deep learning models applied to embedded systems C++ programming TensorFlow, PyTorch Desired experience Java, Kotlin What’s on offer Competitive base Excellent bonus scheme 25+ days … holiday Hybrid working And much more Interested? This is an excellent opportunity for a MSc-educated C++ Machine Learning Engineer. Please apply now for immediate consideration and speak with Matthew Botha who is recruiting for this position in Surrey, UK. more »

and solve complex challenges. We are seeking a talented and experienced Lead Data Scientist with experience in leading, designing and delivering data & AI/ML products preferably in the Insurance sector, to join our data science team.As a Data Scientist, you will lead advanced analytics and ML projects, leveraging the … and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from diverse datasets. This role requires exceptional … strong track record of leading and delivering advanced data science projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure more »

algorithms for Oxa Driver. In This Role You Will Be Working with primarily camera based imaging sensors, in addition to LIDAR, radar Working alongside Machine Learning and C++ engineers to implement algorithms on-vehicle Working closely with and support Stream Lead in developing and maintaining technical roadmaps to … need to succeed: Knowledge and experience of State-of-the-art techniques for Action Intent Recognition, ideally for Road Users 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 »

La Fosse is looking for an ML Software Engineer to join one of our algorithms teams as part of the Advanced Sensor group. They are shaping the world of tomorrow, Today. Focusing beyond the horizon and pushing exciting developments in many key areas of technology. Creating a new era of … maintainable data and model pipelines. REQUIREMENTS B.SC in computer science or related STEM degree. At least 5 years of industry experience in SW/ML roles. High proficiency in Python. Hands on experience with low-level internals of machine learning frameworks. Strong communication and interpersonal skills with the … and continuous integration tools. Advantage Quantization and deployment of machine learning models to embedded platforms. Setup of distributed systems for training of ML models. High proficiency in at least one performant language: C, C++, Rust, etc. 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 »

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 »

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 »

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 »

detection and human pose estimation – with the application of appropriate machine learning methods, such as CNNs and ViTs, in conjunction with non-ML algorithms. Demonstrated experience using leading-edge methods for modelling human and object shape, appearance and movement. Experience providing technical leadership within teams and excellent team … Examples of working with large spatio-temporal datasets, and machine learning expertise for solving time-series domain issues. Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development and production within a standalone application. Experience with Python and ML toolkits, e.g. PyTorch, Lightning more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … to help businesses use artificial intelligence (AI) by understanding their needs, designing AI solutions, and implementing those solutions. BJSS AI specialists have expertise in machine learning, natural language processing, and other AI technologies. The successful candidate will provide: Expertise in machine learning, natural language processing, and … other AI technologies : possess in-depth knowledge and hands-on experience in machine learning, natural language processing (NLP), and other relevant AI technologies. Be familiar with various algorithms, frameworks, and tools used in these areas, including cloud-based AI services. This expertise enables to design, develop, and implement more »

to understand human disease and to support the development of novel antibody-based therapeutics. You will design, develop, and implement statistical, bioinformatics and advanced machine learning methods to aid in both the characterisation and design of antibodies as well as integrating large multi-modal datasets to derive quantitative … antibody function. Implement advanced statistical approaches for the analysis of large omics data sets and cross-modality data integration (E.g. un/self-supervised machine learning methods, knowledge graphs) Develop workflows for processing and analysing both in house and publicly available disease derived data sets, specifically bulk and … BCR/TCR sequencing data and/or predictive antibody/protein modelling. Significant experience working with a broad range of statistical methods, including machine learning methods. Significant experience working with multi-omics and large-scale biological datasets. Strong programming skills in key bioinformatics languages, e.g., R, Python 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 »

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 »

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 »

to join their dynamic data science team. As a Senior Data Scientist, you'll be instrumental in leading, designing, and delivering data & AI/ML products, preferably with a background in the Financial sector. Your role will involve leading advanced analytics and ML projects, mentoring junior team members, and driving … models. Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced machine learning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and nurture … strong track record of leading and delivering advanced data science projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and models. Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding more »

support folding into standard incident processes as the products mature. Help work with distributed teams across the business on how to consume AI/ML capabilities. Hands on code, build, govern and maintain . Working as part of a scrum team, deliver high quality technical deliverables. Designing and building solutions … development practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC , etc. Familiarity working within an agile team. Developing machine learning models ( Python or TensorFlow ) Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD , Embeddings , Prompt Engineering … Testing, Integrations, Data Obfuscation, etc. Knowledge of Azure Data Factory/GCP Cloud Data Fusion , Microsoft Azure Machine Learning or GCP Cloud ML Engine , Azure Data Lake , Azure Databricks or GCP Cloud Dataproc . Familiarity with big data technologies and distributed computing frameworks, such as Hadoop, Spark, or more »

re looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these … more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any more »