1 to 25 of 133 Permanent Machine Learning Jobs in the South East

Machine Learning Lead Developer IT & Telecomms Software – Lead Developer Hampshire Permanent/Full Time Design … and implement machine learning algorithms and systems Technology business that services the Engineering industry Leading a team of developers in AI and ML projects The opportunity: This is an amazing opportunity to join a start-up who are developing an AR product that utilises AI, and ML; and … and allows their engineers to safely maintain and repair in the most efficient and compliant way. The Role/Responsibilities: Create and deploy advanced machine learning algorithms and systems. Guide and oversee a group of developers in the execution of AI and machine learning initiatives. Collaborate more »

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 »

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: It’s a great time to join the team. The company delivers a range of enterprise level solutions. … 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 »

Are you an expert in machine learning and artificial intelligence? Are you looking for a new role in Oxford? Then this could be … what you've been waiting for! Our client, one of the most exciting scale ups in the country, are looking for a highly motivated ML researcher to join their team. You will be apply cutting-edge machine learning techniques, solving complex problems in the medical/pharmaceutical research … field. Responsibilities Apply machine learning to solve complex problems Collaborate with a variety of scientific and engineering teams Develop software tools for internal and external use Communicate research findings effectively Work independently and collaboratively Examples of Projects Analysing data from new systems Developing algorithms that produce insights impossible more »

Lead Machine Learning Engineer🚀 Explore the realm of dynamic visual technology and augmented reality with this team! lead the development of machine learning systems from start to finish. If you excel … at using computer vision and machine learning techniques to solve problems , Managed a team and take charge of the process of developing ML systems, from testing to creating finished products 🎯With benefits such as: 25 days Annual Leave PLUS Bank Holidays Great Company Pension Hybrid Working And Much … More! 🎯Your Experience: Extensive and Expertise in Machine Learning (10+yrs) Proficient with Python and Pytorch Leadership Experience Abilities in Computer Vision Want to know more? Maybe you know someone who fits this role perfectly. Get in touch or apply now 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 »

a cross-functional team of R&D Scientists, Bioinformaticians, medics and statisticians. You will be developing and applying a variety of Data Science and ML approaches to analyse large scale NGS and other omics data sets and support drug discovery and development efforts by suggesting novel targets and approaches. This … and transcriptomic data Helping develop new scripts/tools/pipelines and approaches for R&D projects, either using classical computational biology approaches or Machine Learning (eg regression, boosting, graph based approaches, etc) Look for and implement new approaches for the group's R&D work, eg by … pharmaceutical, biotech, biology, computational, omic, NGS, bioinformatics, genomic, drug, discovery, development, R&D, research, antibody, immunology, immune, knowledge, graph, machine, deep, learning, ML, database, software, neo4j, CRO, project, management, python, programming, pipeline, tool, model, algorithm, statistical 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 »

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 »

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 »

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 »

a complex Seeker model. Undertaking and documenting system studies and performance analysis. Encouraging innovation for example improved agile methods, process improvements, and use of machine learning/AI in the products. To be considered for this role, applicants will need to be qualified to degree level in a … report writing. Modelling and coding (significant experience of MATLAB and ideally Simulink). Experience in forming hypotheses and creating the method to prove them. Machine Learning and AI. They are extremely keen to find someone with a passion for the defence industry and technology and they can offer … facilities) Hybrid working (project dependent) Key Skills: Algorithms Engineer, Algorithm Development, Integration, System Studies, Performance Analysis, Data Analysis, RF Systems, Modelling, Coding, MATLAB, Simulink, Machine Learning, AI. Due to the nature of work undertaken at our client's site, incumbents of these positions are required to meet special 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 »

mission of health-equity.ai is rooted in the belief that healthcare is a fundamental human right, not a privilege. By harnessing advanced analytics and machine learning, health-equity.ai aims to provide insights that lead to more informed decisions, better health outcomes, and the elimination of systemic barriers to … a small team of data scientists. Oversee the full lifecycle of data science projects, from data collection to dissemination. Perform advanced statistical analysis and machine learning to drive project success. Translate complex datasets into clear, actionable insights for stakeholders. Develop impactful visualizations and reports to communicate findings. Collaborate … initiatives. Validate all processes and project insights to ensure the highest level of accuracy. Must-Have Skills: Fluent Statistics Proficiency in Python Experience with ML packages such as scikit-learn and xgboost. Deep understanding of common ML algorithms Expertise in data handling, cleaning, and analysis using tools like pandas and more »

integrate AI capabilities into our solutions and services, contributing to the overall strategy and service development Stay abreast of the latest developments in AI, machine learning, and current technologies, applying new techniques and tools to solve challenging problems Customer facing skills with the ability to propose solutions to … and mentorship in areas of expertise, including guiding junior team members and participating in knowledge-sharing activities What youll need Strong knowledge of AI, machine learning algorithms, and deep learning frameworks such as TensorFlow and Porch Proficient in programming with a focus on NVIDIA CUDA, C++, Python more »