51 to 75 of 356 Machine Learning Jobs in England with Remote Work Options

solver that wants to help keep the country safe? As a Data Scientist at MI5, you’ll be responsible for developing and applying new Machine Learning capabilities to help us automate the detection of the threats we face. Data Science forms a core part of our strategic approach … cycle of our Data Science products from concept through to research and delivery. As a Data Scientist, working closely with technical specialists such as ML Engineers, Business Analysts and Product Managers, your focus will be to understand and prioritise mission problems. You’ll develop solutions tailored to meet the organisation … experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python for data science, data manipulation and data visualisation. A resilient problem-solver 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 »

global capability to assess open web news sites on the adversariality of their content. We are doing this using a combination of cutting edge machine learning and human review by intelligence analysts. Our goal over the next 3-5 years is to scale up the technology and intelligence … with teams of data scientists, engineers and product managers. Great people manager: Leadership roles requiring the management of significant teams from different technical disciplines. Machine learning expert: An aptitude for technology innovation, especially in advanced machine learning fields. Experience with Natural Language Processing (NLP), especially large more »

descriptionSenior Data Scientist - 1x/month in London - up to GBP80kNFI08082023SF-7_1691513874Are you an enthusiastic Data Scientist who is looking to work with Machine Learning projects?My client are a … start-up software company who are looking to change all digital interactions. Due to growing, we are looking to hire a Data Scientist/ML Engineer with experience in Python,(Numpy/Scikit - learn), ML/Azure ML, SQL and ideally you would have a research and development background. Within … this role, you will work closely with Software Engineers, execute R&D programme to develop ML components through their platform, document your findings, advise the product engineering teams and characterise and optimise candidate technologies.Minimum qualifications required: * Strong experience with SQL/Python * Understanding of Machine Learning, Azure ML more »

role will entail: * Gathering and manipulating disparate data, applying analytical techniques and visualising results. * Application of various tools, data mining, statistical techniques, algorithms and machine learning principles to identify trends, patterns and insights from raw data. * Extracting meaning from data, uncovering insights and identifying opportunities to inform business … in data sets.Main Skill-Set We are looking for a good mix of the below skills, (not necessarily all of the below): * AI/Machine learning techniques - such as logistic regression, clustering, data modelling * Statistic modelling * Coding - R, Python, SQL * Creating data architectures * Data visualisation experience - Tableau, PBI … is essential you have the following: * 3+ years' experience as a Data Scientist * Excellent communication: clear, concise & articulate. * Passion for Data, Analytics, AI and Machine LearningBenefits PackageYou will be awarded the following benefits package: * Base Salary - From 60,000 to 65,000 per annum (may stretch to more »

Machine Learning Engineer Bristol or remote Up to £65,000 Opportunity to establish the ML/AI function within an already successful revenue-generating business Gain exposure to a range of projects across audio, NLP and computer vision Significant career progression opportunities I'm looking for an ML … Engineer with experience building ML architecture and infrastructure and taking models into production. You'll be joining a well-established business with a 75% market share in their respective space and whose products are already used by hundreds of thousands of people across the UK. They're now looking to … line and develop new ones. Unsurprisingly, they're looking towards AI to help enhance their product offering and so they need to bolster the ML expertise within the business. This is a brand new role so you'll work closely with the CTO and Principal Engineer and enjoy a huge more »

services is a central pillar in the digital transformation program. The data pipelines and models that you will develop will underpin all Business Intelligence, Machine Learning and CRM capabilities. The role holder must ensure that the data is well-managed and ready for consumption by the business, which … will be varied, e.g. building a new reporting data warehouse, creating a single view of the customer, measuring, and improving data quality, and developing machine learning pipelines. Key Accountabilities 1.Demonstrate our culture and values to our colleagues, customers, and partners so that our values are powered by every … high level of proficiency in SQL and Python. A good level of experience of Data modelling and BI solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. more »

services is a central pillar in the digital transformation program. The data pipelines and models that you will develop will underpin all Business Intelligence, Machine Learning and CRM capabilities. The role holder must ensure that the data is well-managed and ready for consumption by the business, which … will be varied, e.g. building a new reporting data warehouse, creating a single view of the customer, measuring, and improving data quality, and developing machine learning pipelines. Key Accountabilities Demonstrate our culture and values to our colleagues, customers, and partners so that our values are powered by every … level of proficiency in SQL and Python . A good level of experience of Data modelling and BI solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. more »

Senior Software Engineer (ML) - £100,000 Title : Software Engineer Company : Deep Learning (HPC) Location : Hybrid (Cambridge) Salary : £100,000 Skills : Rust/C++, Deep Learning Overview : An elite, boutique start-up operating at the intersection of HPC and Deep Learning is paving the way for a new … between a Software Engineering and Machine Learning engineering role in a greenfield environment. About you : 4+ years in a Software Engineering/ML role Extensive performance optimisation Very strong C++ or Rust experience (bonus points for Rust) Exposure to GPUs Deep learning toolkit experience (E.g., TensorFlow, PyTorch more »

acquisition by BioNTech has further solidified our commitment to leading the industry.Join us to be a part of the AI revolution!Are you an ML Ops Engineer - Team Lead passionate about Product & Innovation?If so then keep reading…As ML Ops Engineer - Team Lead you will be working at the … intersection of machine learning and engineering (i.e., ML Ops), leading teams to deliver innovative and high-quality services. You will be a strong advocate for both engineering standard methodologies (e.g. code reviews, unit testing) and also the adoption of new technologies.ResponsibilitiesWork end-to-end on the ML lifecycle … from data exploration to model operationalization, and Partner with different teams and domains on crafting, explaining, and implementing ML models.Collaborate with data engineers, data scientists, product, etc in a multi-functional team for the delivery and maintenance of these solutions and business integrationWorking closely with the other department to understand more »

These roles will sit in our Embodied AI division which will consist of modelling, robotics and data teams working with another group that provides ML training infrastructure.You will grow the team according to the product roadmap on commercialisation timelinesYou will be expected to establish solid ML practices from the start … developing our autonomous vehicle capability roadmap with production-level quality data and models across the ML cyclePrioritising effectively, keeping processes lean and effectiveChallenging the status quo (both technical and organisational/process)Training, tuning and debugging production models, informing decisions on how to collect and synthesise training data. The technology … could be contributing to a bug, add feedback loops, and then assess feedbackWhat you will bring to WayveEssential:Prior experience as a manager of ML development teamsPassionate about fostering personal and professional growth in individual team members Industry experience with embodied AI development with real-world product impactExperience with roadmap 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. Qualifications Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker Experience in DevOps, Cloud Operations, ML more »

work will have a very direct, measurable impact on achieving those goals.Senior Data Scientist – Spiking Neural NetworksJob responsibilities:Apply your existing knowledge of SNNs, machine vision and image analysis techniques to the development of a novel SNN engine based on our research outputs. You may also be asked to … work on projects that make use of CNNs and Transformer networks.Enhance machine learning software with the latest in machine learning algorithms.Work with other team members tasked with the development of a system for automating the production of synthetic training images derived from digital 3D virtual reality … work into practice.Contribute to the development of systems that will be core components of our machine vision, image analysis and other AI/ML products.Support the work of other data scientists and developers in the team.Work with research colleagues and offer technical support to colleagues in commercial roles in more »

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … Develop High-Quality Code: Lead pipeline development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. … Experience Requirements: Advanced degree (Master’s or PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools more »

software development teams, and hands on development within a fast-paced, dynamic environment. This role will involve working with AI so an interest in learning Generative AI and Machine Learning is a must. As a result of their hard work, our client has received several award nominations … Previous experience leading the delivery of innovative products or software solutions Strong experience with agile ways of working Strong understanding of Generative AI and Machine Learning and a passion for keeping up with the latest revelations in tech This is a hybrid working opportunity out of their Leeds more »

per annum (dependent on seniority and experience) 🚀 Leading Applied AI Company 🪖 Cutting edge DefenceTech 🔥 Working with the latest tech in AI and ML ⚙️Preferred Tech: Python; Azure; Machine Learning. 📍 The Company I'm working with an exciting startup who are revolutionising the way that Artificial Intelligence, Machine Learning … DefenceTech - that's where you come in! 💼 The Role We are looking for a Python Developer, proficient with Azure and ideally with exposure to Machine Learning to join this exciting and rapidly growing tech-focused team. You would be working with bleeding edge tech and contributing … to solutions that could impact the whole of society and save lives. 👉 What's in it for you? ⭐ Working on bleeding edge AI/ML tech ⭐ Being part of a high-calibre engineering team at a tech obsessed company ⭐ Unlimited annual leave - average 36 days p/a ⭐ Share options more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … an office based in Camden, with flexibility for working from home. Eligibility to work in the UK is required. Responsibilities research and develop novel ML architectures implement algorithms according to the high-level specifications monitor deployments set up, track experiments and provide a high-level summary to the research team … Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or AWS) familiarity with web development (Fast more »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus.Computer Science or Software Engineering degree/BSc or higherExperience leading a Machine Learning/MLOps teamLow ego management styleStrong Python coding experience Experience with the SQL querying languageExperience working with Docker both in development and deployment environmentsExperience reading/ more »

organization. We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning.Our mission is to make energy affordable and accessible to everyone - enabled by providing our clients with 5 key capabilities:1. Digital Advisory services … .· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types of ML model with particular reference to the required data structures, formats and hygiene.· Au fair with how current machine learning tools and platforms (Python … IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio, Docker, Kubernetes etc).Applied Analysis and Insight· Understand enterprise-wide business-processes, IT systems and more »

organization. We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning.Our mission is to make energy affordable and accessible to everyone - enabled by providing our clients with 5 key capabilities:1. Digital Advisory services … .· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types of ML model with particular reference to the required data structures, formats and hygiene.· Au fair with how current machine learning tools and platforms (Python … IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio, Docker, Kubernetes etc).Applied Analysis and Insight· Understand enterprise-wide business-processes, IT systems and more »

for successContribute to KPIs and metrics of the team, systems and tooling they provide currently. Intentionally invest in improvements that move the needle on ML engineers’ productivity.Provide technical guidance where needed and rely on senior engineers on the team where necessary to make the decisions that drive the team and … aspects of the model development lifecycle.Aligning with customers, and other stakeholders in addition to roadmapping and strategy.Creating a dev and training platform where all ML engineers will train their models on. Interacting with Azure, cost tracking and optimizations to not only save the company money but also get the performance …/or MLOps experienceDesirableExperience working in a project-based (“matrix”) operating environmentBachelors in Computer Science, Engineering, or similar experience (e.g STEM)Strong knowledge of Machine Learning and/or Cloud Infrastructure areas, such as Deep Learning, Natural Language Processing, Computer Vision,or Kubernetes, Azure/GCP/ more »

At least three years of practical experience in industry, government, or consulting, applying data-driven approaches to various business scenarios, including advanced analytics or machine learning algorithms. - **Technical Skills:** Strong Python skills and understanding of data science and machine learning concepts and algorithms such as clustering … Join them?** - **Impactful Work:** Contribute to meaningful projects that address critical public policy issues. - **Professional Growth:** We support career progression and are committed to learning and personal development through in-house training programs, access to our communities of practice, and online learning resources. - **Supportive Environment:** Enjoy a supportive more »

Establish consistent and automated local environments, DevOps practices and tools like Docker and Azure DevOps. Partner with data scientists and machine learning (ML) engineers to deploy ML models on Azure. What’s in it For You? Amazing company to work for! Hybrid working. Great culture and environment. For more »

AI Lead Engineer - LLM, Machine Learning London based contract, hybrid working - AI/LLM Lead Engineer/Architectspecialise in AI applications and Large Language Models AI Lead Engineer/Architect Artificial Intelligence/Machine Learning experts with LLM, NLP Experience: Advise on LLM SW Engineering principals more »

Location: Weymouth Benefits: Competitive salary, 25 Days Holiday, Hybrid Working Responsibilities: Manage and mentor a team of data analysts, fostering a culture of continuous learning to drive performance. Lead the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee … trends, opportunities, and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques … such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations using Power BI or similar tools, enabling stakeholders to gain insights and make informed decisions based on more »