1 to 25 of 72 Machine Learning Jobs in the South East with Remote Work Options

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 »

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 »

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 »

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 »

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 »

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 »

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 »

Software Engineer - Defence Sector Python, C++, AI, Machine Learning Applicants must be eligible for Security Clearance - British Passport holders or in the UK for 5+ years. We are looking for a talented Software Engineer with 2 to 6 years’ experience of developing complex, mathematical software using a range … You will join a company that develop bespoke geographical systems and location services used within the British military. The products use mathematical modelling, AI, Machine Learning and NLP so its a great opportunity to learn and work with some very modern tools and concepts. The ideal candidate will … Learning are all of interest. Summary of background & experience Maths/Science background Python/Rust/C++/C# - Any combination. AI, ML, NLP, Graph databases are good but not essential. Strong academic record in Maths, Physics and STEM related subjects The role is hybrid, you will need more »

Direction : Define the technical direction of the systems and tools utilised by the team, particularly as we advance towards leveraging Machine Learning (ML) and Artificial Intelligence (AI) technologies. Required Experience: To excel in this role, you should have demonstrable experience with the following: Snowflake : Proficiency in Snowflake, including more »

Vision Engineer to join a rapidly growing scale-up working at the forefront of technology. The successful Software Engineer will have a background in Machine Learning and Computer Vision and will be brought in to develop efficient algorithms which enhance the product's ability to track and predict … solve real-world problems. Skills and Experience Needed for Computer Vision Engineer: PhD or MSc in Computer Vision or similar. Strong experience using Deep Learning/Machine Learning. Knowledge of Object Detection, Object Tracking and/or Pose Estimation would be considered advantageous. Knowledge or prior experience working more »

you will work with and mentor two python developers developing robots, integrating systems with third party APIs, developing web portals and leveraging AI and machine learning technologies to innovate and deliver business benefits. Key responsibilities and accountabilities: Leading and mentoring a small team of Developers Providing technical guidance … Subsidy for Glasses; Electric Car Charging Points; Free Standard Parking; Employee Assistance Programme; Occupational Health Support; Employee Discounts Platform; Commitment to Career Progression, Training, Learning and Development. more »

business growth and solve complex challenges. They are seeking an experienced Lead Data Scientist with experience in leading, designing and delivering data & AI/ML products, preferably in the Insurance sector. As a Lead Data Scientist, you will lead advanced analytics and ML projects, leveraging the power of Azure tools … with a strong track record of leading and delivering advanced data science projects. 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 … Pipelines, Mlflow, Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead and mentor data science teams, driving more »

You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could have experience with cloud-based big data architectures and services (AWS, GCP more »