26 to 50 of 865 Machine Learning Jobs in England

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 »

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 »

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 »

at home and 2 days in the office, working core hours Monday to Friday. As a DevOps/MLOps Engineer you will be operationalising machine learning effectively. You will support the architectural needs of their Data Science team to ensure the seamless deployment, monitoring, and maintenance of machine learning models and data pipelines. You will work in close collaboration with the Data Science team to design and implement scalable and reliable infrastructure for machine learning model deployment and data processing. The successful candidate will deploy machine learning models and data pipelines to … and alerting systems to ensure optimal performance and reliability. In this position, you will develop and maintain automation scripts and tools to streamline the machine learning model deployment process and ensure reproducibility. The DevOps/MLOps Engineer will implement security best practices and ensure compliance with relevant data more »

the power of cutting-edge machine learning technologies to decode the mysteries hidden within cell culture experiments. You'll be building advanced ML models that seamlessly integrate internal and external data sources, weaving together algorithms that paint a vivid picture of what lies beneath the surface. But it … interpretation of cell culture experimental assay outcomes You’ll be hands on applying and developing artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) on our research data sets (e.g. Cell culture, DoE, media formulation, bioprocess parameter optimisation … sources You’ll update and report relevant results to interdisciplinary project teams and stakeholders – a master of knowledge sharing on statistical and AI/ML methodologies You’ll obviously maintain a keen awareness of recent developments in data science and state-of-the-art of AI/ML/DL more »

Machine Learning Specialist | Bristol (1x Week) | £60,000 + Benefits Exciting opportunity to join a rapidly growing scale-up in Bristol as a Machine Learning Specialist. In this role, you'll be at the forefront of our data and AI initiatives, driving innovation and delivering valuable … insights. Collaborating closely with the small and growing team you'll craft and deploy cutting-edge machine learning solutions to enhance our platform's performance. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Strong proficiency in programming languages commonly used in … setting. Passion for exploring new technologies and driving innovation in the field of machine learning. Experience with Speech Recognition, NLP, or other advanced ML applications is desirable. Benefits: Discretionary bonus (typically 7-10%). Flexibility with working in the office (1x week). Free breakfast bar. Apply below or more »

Machine Learning Engineer - MedTech - London - Hybrid Do you want to develop AI that prevents critical diseases as Machine Learning Engineer ? You can make a real difference in healthcare! A Machine Learning Engineer is needed to join a rapidly growing team at a leading MedTech … firm. The company specialises in AI-powered predictive analysis, developing groundbreaking tools to prevent critical diseases. In this Machine Learning Engineer role, you will: Build and deploy AI models to predict and prevent critical diseases Collaborate with engineers and scientists to develop cutting-edge solutions Continuously learn and … deep learning techniques Be an integral part of a growing team (20 to 40 people in 12 months!) Tech skills needed for this ML engineering role: Deep Neural Networks (DNN) Generative Adversarial Networks Deep Learning Define, evaluate and assess AI systems performance Explore and implement state-of-the 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/Data Scientist (Python) Cambridge to £90k Are you a tech savvy Machine Learning Engineer/Data Scientist looking for an opportunity to work on complex and interesting systems at the cutting edge of … AI technology? You could be progressing your career working on real-world problems within a high successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning. As a Machine Learning Engineer/… that solve real world customer problems. You'll collaborate with Agile engineering teams and write code (in Python) that is integral to the core ML components used within the production code base. You will take ownership, working end-to-end, from liaising with both internal and external non-technical stakeholders more »

Senior Machine Learning Engineer Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA Approved Umbrella) Location: London (3 days onsite a week) Are you a Senior Machine Learning Engineer looking for a challenge working with a Global Marketing Agency? The Senior Machine Learning … have the chance to collaborate with large technical teams and work in a fast past, forward thinking mindset. We’re looking for the Senior ML Engineer to be involved in their ongoing and upcoming projects which will take you past the initial 3-month period. The Senior Machine Learning … If you’re interested in this contract opportunity then please let reach out to me! Experience needed for this position (Please read carefully) Senior Machine Learning Engineer with over 5+ years of experience Python experience SQL experience AWS Redshift experience Predictive Modelling Clear and concise communication skills Senior more »

Centre of Excellence - Remote - United Kingdom Role Overview: The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and large language model (LLM) solutions. These solutions will leverage structured and unstructured data to automate workflows and revolutionize service delivery. The role aims to … the company into a technology-driven powerhouse by fostering innovation and driving business growth. Key Responsibilities: Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with overall business objectives and tech enablement goals. Build and lead a high-performing, cross-functional team of … ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions into impactful projects. Ensure data security more »

serves clients in 20 countries across four continents and has 7,000 employees worldwide. Key responsibilities Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with the company's overall business objectives and tech enablement goals. - Build and lead a high-performing, cross … functional team of ML engineers, data scientists, and domain experts, fostering a collaborative and innovative culture. - Evaluate and select the appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges and drive automation across various service lines. - Collaborate closely with stakeholders, including the CTO, CEO … SVP of Legal Services, Product Management, and Development teams, to identify opportunities for ML and LLM integration and drive impactful projects. - Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, EU AI legislation) by designing robust data governance frameworks and embedding ethical AI principles into all solutions. - Oversee more »

Leading ecommerce client now requires a Data Engineer to join their innovative Machine Learning team. This role will focus on increasing overall data efficiency using Machine Leaning, streamlining data processes to increase overall profitability, and ensuring our clients operations and customer teams … can increase overall value. They are searching for someone with strong exposure to Machine learning principles/practices and technologies such as ML flow/Sage Maker. The role: Develop robust and scalable data pipelines. Collaborate with cross-functional teams to develop and deploy Machine Learning models and algorithms to solve business challenges and create opportunities. Contribute to the development of our clients in-house Machine Learning operations framework. Support the data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on more »

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in … business requirements and the type of attention to detail that ensures thoroughness in product deployments. Responsibilities and expertise will be in the field of ML and AI model deployment, monitoring, integration across the tech stack and making best use of data-focussed compute resources. Diversity is incredibly important to us. … maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment … analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full … closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos more »

Internet of Things, and Software. We are seeking a Python Developer to join our team and play a key role in developing and deploying machine learning models into production. You will leverage your expertise in Python, FastAPI, and cloud platforms (AWS, GCP, Azure) to design, develop, and maintain … for containerization and orchestration of applications. Deploy, monitor, and manage applications on cloud platforms such as AWS, GCP, and Azure. Develop and fine-tune machine learning models, with a focus on state-of-the-art techniques and LLMs. Implement Retrieval-Augmented Generation (RAG) for enhanced information retrieval and … processing. Collaborate with data scientists and other team members to integrate machine learning models into production systems. Stay up-to-date with the latest industry trends and advancements in machine learning and AI technologies. Perform code reviews, mentor junior developers, and contribute to the overall improvement more »

from sub-second latency functions to longer-running batch computer and higher-demand dedicated instances. Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They … Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data processing pipelines, both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacks Shape the … ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic à task) Proactively identify blockers across the team, help promptly and effectively to unblock them Bring seniority and pragmatism to every more »

practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the constraints that … Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience … environments Proficiency with at least one the languages such as C++, Java, Scala or Python Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure more »

Senior Machine Learning Engineer Paying up to £110,000 Hybrid in London High-performing AI Start-up La Fosse is currently working with a cutting-edge artificial intelligence and cyber security start-up company specialising in AI for binary analysis, who are looking to hire a talented Senior … language model (LLM) binary code embeddings and research new methods using graph-based models for segment classification. Key Responsibilities: Implement state-of-the-art ML techniques and integrate them into our product pipeline. Develop and refine foundational LLM binary code embeddings. Research and innovate new methods using graph-based models … Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML pipelines and deploying AI models to cloud service providers is preferred. Ideally 3-5 years experience in a similar role. If this role sounds of more »

contract basis. We are looking for out and out MLE's with strong commercial Machine Learning experience using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing … systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the … full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). more »

Senior Machine Learning Engineer - London - Exciting Health-Tech Start-Up Permanent + Fun Social Team + Share options Are you a Machine Learning Engineer/Software Engineer looking for an exciting and challenging position? Heres your chance to be a part of a fast-growing health … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a Machine Learning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior Machine Learning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »

Senior Machine Learning Engineer - London - Exciting Health-Tech Start-Up 🚀 📢 Permanent + Fun Social Team + Share options Are you a Machine Learning Engineer/Software Engineer looking for an exciting and challenging position? Here’s your chance to be a part of a fast-growing … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a Machine Learning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior Machine Learning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »

AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to … bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning more »

I am currently on the lookout for a Security Cleared Machine Learning Engineer who has extensive experience working in the Azure Cloud Platform. I am currently looking to suppot a Public Sector consultacy who are actively supplying into a Government department. Responsibilities: Develop and deploy machine learning models on the Azure cloud platform. Collaborate with data scientists and engineers to design and implement scalable solutions. Optimize and fine-tune machine learning models for performance and efficiency. Ensure compliance with security standards and best practices. Troubleshoot and debug issues as they arise. Document code, processes … and procedures. Requirements: Extensive experience working as a Machine Learning Engineer. Strong proficiency in Python programming language. Hands-on experience with Azure cloud services, including Azure Machine Learning, Azure Databricks, and Azure Synapse Analytics. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or more »

to this mission. As a Senior Data Scientist you will take a leading role in researching, building, deploying and monitoring machine learning (ML) models, in close collaboration with cross-functional teams. Your efforts will support our clients through enhanced decision-making and automation, utilising our developing cloud-based … great. Circa 5+ years of serious commercial experience working on a range of complex problems, across varied data types and machine learning (ML)/artificial intelligence (AI) approaches*, with multiple live solution deployments. Proven ability to successfully tackle a broad swathe of our interesting problems catalogue. Of course … code and notebook documentation. Experience of working in a Cloud environment (we use AWS to run an EMR based platform), including experience of scaling ML solutions using Spark. Experience across common supervised, unsupervised, semi-supervised, reinforcement machine learning techniques What technical skills are required Accomplished Python coder. Data more »