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 machinelearning 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 machinelearning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools more »
Role: Senior ML Engineer Salary: £80,000-£100,000 + Stock Location: Remote First (UK only) Join an AI-driven Climate technology business as a Senior MachineLearning where you'll work on cutting edge AI data platforms. Why join: Be part of a unique opportunity to impact … the world positively through Biodiversity & Land Restoration using advanced AI/ML. You will be comfortable working across a whole ML platform, building new capabilities alongside a high calibre tech team. The ideal candidate will have: Strong Data Science/ML engineer background Experience working on very complex systems Strong more »
Leeds, England, United Kingdom Hybrid / WFH Options
La Fosse
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 MachineLearning 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 MachineLearning 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, MachineLearning … DefenceTech - that's where you come in! 💼 The Role We are looking for a Python Developer, proficient with Azure and ideally with exposure to MachineLearning 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 machinelearning 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 MachineLearning 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 MachineLearning/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 machinelearning 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 »
Maidstone, Kent, United Kingdom Hybrid / WFH Options
Worley
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 machinelearning 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 MachineLearning 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 machinelearning algorithms. - **Technical Skills:** Strong Python skills and understanding of data science and machinelearning 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 »
Borehamwood, England, United Kingdom Hybrid / WFH Options
Addition+
Establish consistent and automated local environments, DevOps practices and tools like Docker and Azure DevOps. Partner with data scientists and machinelearning (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 »
We are seeking a Deep Learning Quantitative Researcher to join one of our systematic client remotely. In this role, you will be at the forefront of developing and implementing advanced deep learning models to drive investment strategies and enhance our quantitative research capabilities. Responsibilities: Conduct research and develop … deep learning models for predicting financial markets, including but not limited to time series forecasting, natural language processing (NLP), and image analysis. Collaborate with portfolio managers and traders to identify alpha-generating strategies and optimize trading algorithms. Stay abreast of the latest developments in deep learning, machinelearning, and quantitative finance research, and apply cutting-edge techniques to solve complex financial problems. Analyze large datasets to extract meaningful insights and identify patterns that can be used to inform trading decisions. Work closely with our technology and data engineering teams to deploy and integrate deep learningmore »
the seamless delivery of our innovative products. This role requires combining cloud technologies and database management expertise, embracing the challenges of integrating AI and machinelearning workflows on modern GPUs. Requirements You have: Excellent problem-solving and technical skills Experience in building platforms with custom deployment models Structured … Bonus: Proficient in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability Experience deploying and running MachineLearning Solutions, including LLMs Benefits Competitive salary Opportunities to work on groundbreaking NLP & AI-related projects Remote working (Remote must be within more »
Weymouth, England, United Kingdom Hybrid / WFH Options
The Airedale Group
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 machinelearning, 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, machinelearning, 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 »
Bristol, England, United Kingdom Hybrid / WFH Options
Adecco
data transformation, without the need for the crutch of Cloud Platforms at all times… Develop, enhance, and manage intricate data ingestion pipelines. Integrate advanced machinelearning elements into data pipelines. Implement data quality metrics and dashboards for monitoring. Collaborate with data scientists, engineers, and cross-functional teams in … and processing. Ensure the efficiency, scalability, and dependability of data ingestion pipelines.Qualifications: Minimum 3 years of experience in developing data ingestion pipelines with advanced ML elements. Degree in Computer Science, Data Science, Engineering, or related field. Proficient in Python, SQL, PySpark, and Databricks. Experience with modern NLP techniques and tools. … data scientist or quantitative risk modeller. Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field (advanced degrees preferred). Expertise in applied machinelearning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies (Databricks, PySpark). Experience more »
Iver, England, United Kingdom Hybrid / WFH Options
GRIDSERVE
have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machinelearning activity would be highly valued. MAIN RESPONSIBILITIES Be the accountable person for Data as a Product at GRIDSERVE and own the product … Architect ensuring that the Product Roadmap aligns with the Data Platform Roadmap and evolution, influencing the product roadmap as new platform capabilities such as machinelearning and artificial intelligence are introduced Develop the product catalogue, roadmap, backlog, and sprint planning while utilizing scrum, agile, and DevOps methodologies. Demonstrate … to non-Azure technologies and familiar with the strengths and weaknesses of a spectrum of BigData and Streaming technologies. Experience with Data Science and ML teams. Experience with the Azure cloud-based data frameworks Experience of cloud based data warehouses. Required qualifications and certifications Microsoft Dynamics Certifications or other relevant more »
Manchester, England, United Kingdom Hybrid / WFH Options
Made Tech
diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machinelearning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machinelearning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »
Bristol, England, United Kingdom Hybrid / WFH Options
Made Tech
diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machinelearning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machinelearning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, MachineLearning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with … implement data integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machinelearning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. more »
Surrey, England, United Kingdom Hybrid / WFH Options
Hawksworth
re looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, MachineLearning, 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, machinelearning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, MachineLearning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for … of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machinelearning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or more »
South Harting, England, United Kingdom Hybrid / WFH Options
Adecco
ensuring accuracy, performance, and scalability. Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing various statistical and machinelearning techniques. Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders. Collaboration: Work closely with underwriters, engineers, and … Education: Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Technical Skills: Expertise in applied machinelearning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL. Experience with big data technologies and tools such as Databricks more »
across all company functions, enhancing our ability to make informed decisions quickly and effectively.You'll also play a critical role in integrating AI and machinelearning models into our services, working closely with product teams to improve customer experiences and operational efficiencies. Your oversight will extend to the … significant portion in leadership positions. Prior experience in the banking or financial services sector is highly desirable.Technical Proficiency: Advanced knowledge of data analytics frameworks, machinelearning, AI integration, and the ability to design scalable data infrastructures and architectures.Regulatory Knowledge: Comprehensive understanding of and experience with data protection regulations … employee contribution and a 3% employer top-up.Learning and development: After 1 year of service, you'll have access to 500 from the Kroo Learning Fund to invest in your career development.Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook more »
development of best practices and standards for data engineering within the organization. · Developing and implementing data models and algorithms to support data science and machinelearning initiatives. TECHNICAL REQUIREMENTS · Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications … of data structures and algorithms · Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git · Familiarity with MachineLearning and Statistics a plus · Excellent problem-solving and analytical skills. · Experience working in an Agile development environment. Our Amazing Benefits · Hybrid/… Healthcare for you - talk to us about adding your family · Discounts on various retail stores, gyms memberships and a bike scheme · Access to LinkedIn Learning · Peer to peer recognition...and much, much more! About Us · 4.8 rating on Glassdoor! · Excellent employee retention · We have a culture deeply engaged in Diversity more »
Cloud-Based Infrastructure: Knowledge of cloud platforms and automation. Collaboration: Effective teamwork in an agile environment. MachineLearning Models (Beneficial): Experience with ML models. Why Join this company? Innovative Mission: Fight cancer with groundbreaking AI-enhanced diagnostics. Unique Technology: Work on a patented platform using IR spectroscopy. Growth … Up Journey: Experience the dynamic startup environment firsthand. Autonomy and Ownership: Take ownership of impactful projects. Cutting-Edge Technology: Work with advanced tech like machinelearning and IR spectroscopy. Cross-Disciplinary Collaboration: Learn from experts in various fields. Regulatory Insight: Navigate complex regulatory landscapes. Career Acceleration: Develop skills more »