151 to 175 of 1,026 Machine Learning Jobs in the UK

8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point. This involves: Building edge applications processing vision data and communication layers for the compute-constrained edge … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch). High intrinsic motivation to succeed and ability to work hard. What we offer £80-120k base Company equity % in more »

Description Higgsfield AI democratizes marketing video creation using proprietary foundational video models. Role Description This is a full-time on-site role for a Machine Learning Researcher at Higgsfield AI in the London Area, United Kingdom. Your day-to-day tasks will include training … large-scale world models and bringing them to production. Qualifications Strong software engineering skills and proficient in Python Have experience working with multi-modal ML pipelines Strong problem-solving and analytical thinking abilities Excellent communication skills and ability to work in a team Have experience of large-scale training Experience … in conducting research and implementing machine learning algorithms Master's or Ph.D. degree in Computer Science, Statistics, or related field more »

commercial goals to identify opportunities to quickly deliver customer value Ensuring that the product continues to use best practices, utilising advances in AI/machine learning ???? What you’ll bring Demonstrated experience developing data strategy and machine learning algorithms for consumer applications, preferably with a agtech … focus Knowledge of the latest practices in AI/machine learning and can creatively apply them to a consumer application Demonstrated ability to deliver product in a tech startup environment and with speed Confidence to manage a tech team to develop a mobile app, and ability to inspire more »

software engineering team. This individual will manage a team of seven engineers, guiding them in the development of state-of-the-art AI and machine learning solutions. The ideal candidate will have a strong background in Python, data science, machine learning, and AI, with a proven … strategy for the engineering team, ensuring alignment with company goals and industry best practices. Stay up-to-date with the latest advancements in AI, machine learning, and healthcare technologies, and integrate relevant innovations into the team's work. Ensure the robustness, scalability, and security of all software solutions. … degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of experience in software engineering, with a focus on AI and machine learning. Proven leadership experience, with at least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with more »

problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is … due consideration to security, design, validation and SDLC framework Contribute to shaping the strategic vision of our Fraud screening platform involving data streaming and machine learning technologies Collaborate with product managers, business operations, engineers to define product requirements and objectives Participate in system design consulting, platform management Develop … corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients more »

conducting and supporting research and development across diverse areas such as cloud computing, high-performance computing, algorithm development, engineering and scientific computing, artificial intelligence, machine learning, and Exascale technologies. We work at the forefront of engineering and science, ensuring fusion reactors are well understood and engineered, with our … research directly informing engineering efforts. Currently, we're seeking individuals for Artificial Intelligence & Machine Learning roles to contribute to various projects, providing software development, data analysis, and user support. You'll also engage with partners to ensure access to top facilities and assist in report preparation, actively meeting … Julia, R, Python, Swift Parallel Scripting). - Strong experience with UNIX operating system, particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such as PyTorch, TensorFlow, OpenNN. - Knowledgeable in different types of neural networks and other ML techniques, including Gaussian Processes, confidence measures, clustering techniques, and more »

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will more »

performance, and scalability. Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing a variety of statistical and machine learning techniques. Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders. Automated Ingestion System Development: Design, develop, and … maintain sophisticated data ingestion pipelines, integrating advanced machine learning components to enhance data processing and analysis capabilities. Collaboration: Work closely with underwriters, engineers, cyber risk analysts, and other team members to integrate the cyber risk model and data ingestion systems with other processes. Innovation: Stay updated with the … in Computer Science, Engineering, Statistics, Mathematics, Data Science, or a related field. Advanced degrees (MSc or PhD) are preferred. Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. Strong proficiency in Python, SQL, PySpark, and Databricks. Experience with big data technologies and tools. Familiarity more »

pandas, TensorFlow, and PyTorch. Collaborating closely with quantitative analysts and traders to develop and deploy sophisticated algorithmic trading strategies, utilizing advanced mathematical models and machine learning techniques. Optimizing and fine-tuning existing Python codebase for maximum efficiency and scalability, employing techniques like parallel computing, asynchronous programming, and memory … in Python programming language, with a deep understanding of its inner workings, including memory management, concurrency, and performance optimization. Proficiency in data science and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, with hands-on experience in developing and deploying machine learning models in 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 »

Senior Data Scientist – Media - (90% remote) - £90k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd like to join our team of 50 like-minded ML scientists … with zero red tape to create practical solutions that actually work. We’re looking for a Senior Data Scientist who has experience in developing Machine Learning models, evaluating and choosing the tools and technologies and driving projects. Who are we? We’re one of the UK’s largest … to real world problems. You’ll be able to identify opportunities in data, have experience reviewing code for junior colleagues, worked with Data Engineering, Machine Learning and non technical stakeholders. You’ll be comfortable assessing and determining how to optimize processes. What skills should I have? As our more »

the aggregate. You will be responsible for analysing aggregate data across all historic studies, to uncover industry-leading insights through thoughtful data investigations and machine learning algorithms. Our roadmap is ambitious and far-reaching, but manageable. You will be working on projects that you can be proud of … and will have a significant and meaningful impact in the business. ABOUT YOU: We are looking for a hands-on and proactive senior machine learning engineer with a focus on traditional algorithms and an appetite to explore more modern integrations. You will be comfortable taking ownership of projects … expectations. WHY JOIN: You’ll be at the forefront of innovation shaping a fast-growing industry 🔥 Salary of £80,000 - £105,000 💸 The best machine to do your work: a spec’d-out Macbook Pro 💻 Share options so you benefit from our success 🚀 28 days paid holiday plus bank more »

software, ready to be rolled out and implemented by a Sales focused Cloud Architect with an ability to secure UK eDV security clearance. With Machine Learning techniques, Encryption and Big Data tools, this firm have solved a critical privacy issue that will benefit National Security and Intelligence clients … and scalable solutions. Experience within government and consultative selling of B2B software Demonstrable experience working with Privacy technologies such as homomorphic encryption, SMPC, Federated Learning, TEE. Any prior experience with Data management or tooling hugely beneficia (Data Lakes, Snowflake or Databricks). Experience working closely with engineering teams (particularly … those working on Machine Learning and Cryptography products). Ability to deliver product presentations, and showcase software whilst leading pre-sales activities. Product experience with privacy-enhancing technologies, data analysis, data management, and machine learning techniques. Experience leading pre-sales activities and managing RFPs/RFIs more »

Job Title: Lecturer/Senior Lecturer in Embedded Computing and Machine Learning Location: Cambridge Salary: £37,099 - £54,395 per year. Job type: Full Time, Permanent. Closing Date: Tuesday 18th June 2024. About ARU: ARU is a global university transforming lives through innovative, inclusive and entrepreneurial education and … be expected to conduct teaching and research in general computing topics and have specific interests and skills in Embedded Computing, including Arm technology. Distance learning delivery expertise will be an advantage. This position will also require the preparation of funding bids for research funding, to generate external income, supervision … opportunity. Candidates with experience or relevant job titles of; Computing Lecturer, Tech Lecturer, Computing Tutor, Computing Teacher, Computer Science Lecturer, Lecturer in Computer Science, Machine Learning Lecturer, may also be considered for this role. more »

on a 4-6 months contract for a growing Biotechnology company. Your primary responsibilities will include: • Designing and implementing an innovative platform architecture for machine learning operations. • Defining the model management lifecycle, including continuous fine-tuning and monitoring of model performance. • Deploying and maintaining machine learning … data scientists to comprehend their requirements and ensuring a seamless workflow for model development and deployment. Required Skills Proven experience in MLOps and deploying machine learning models on Kubernetes. Proficiency in cloud technologies, AWS, GCP, Azure Experience with data orchestration tools (e.g., Apache Airflow). Familiarity with Terraform more »

one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach … utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc. … Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like to find out more, please apply more »

a leading Marketing Consultancy on a Senior Data Scientist role. You will be working with an established team of Data Scientists on commercially driven Machine Learning models. ROLE: Work closely with a team of Data Scientists to design and build Machine Learning models around Pricing, Propensity … on ROI and added value. Work closely with the Engineering team and business leaders to define project scope and requirements REQUIREMENTS: Proven background in Machine Learning, specifically in the modelling techniques mentioned above. Experience in customer driven modelling with clear evidence of commercial impact and value. Strong communication more »

Model Specialist London (Hybrid) Up to £105k basic + Excellent Bonus & Benefits About Us: My client is at the forefront of artificial intelligence and machine learning technologies with a team of passionate and highly skilled individuals dedicated to pushing the boundaries of what is possible with AI. Job … and deploy prompts to elicit optimal responses from LLMs. Responsibilities: Develop, test, and deploy state-of-the-art language models. Collaborate with data engineers, ML engineers, and researchers to optimize language models' performance, scalability, and robustness. Design, develop, test, and deploy prompts to optimize LLMs functioning. Create business-facing experiences … cross-functional teams to deliver features in an iterative manner. Develop automated processes for predictive model validation, deployment, and implementation. Influence the AI/ML stack like Feature Stores, Model Stores, and automated MLOps to maximize value from LLMs. Connect and collaborate with subject matter experts in different business areas. more »

Senior .Net Developers (.Net 7, Azure, Machine Learning) Bournemouth, Dorset (2-3 days per week in office) £45-65k + 7-8% Bonus + £5k Relocation package. There is a £5000 relocation package available for these roles, but only for candidates in the UK. NO Visa Sponsorship … select the right tool from the job rather than being wedded to one stack and are always looking to the future, for example with Machine Learning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will be … pages, not any design work. They are on to Angular 16/Angular Material but are quite happy to speak to those open to learning it, or transitioning from Vue/React/Svelte for example. The ideal candidate will have Azure DevOps experience and knowledge of Docker, Kubernetes more »

fast growth Fintech company Looking to add to their Data Science team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data-driven approaches. Job Responsibilities/Outline of job Lead the development, enhancement, and maintenance of … cutting-edge machine learning models to address business challenges and opportunities. Collaborate with cross-functional teams to identify and prioritize data science projects that align with company goals and objectives. Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large and complex … looking for: Proficiency in programming languages and tools such as Python, R, Snowflake, dbt Experienced in mentoring & developing teams Strong understanding of statistical concepts, ML Ops tools, algorithms, and techniques, with practical experience in applying them to real-world problems If you are interested in this opportunity please apply or more »

software planning, conducting thorough code reviews, and devising thorough test plans. The ideal candidate will collaborate closely with the MLOps team, tasked with deploying machine learning models on specialized systems like Nvidia Jetson. Key Responsibilities; * Lead the design, development, and implementation of software solutions, ensuring alignment with project … across Windows, Linux, and macOS platforms, addressing platform-specific nuances and optimizing user experience for each platform. * Collaborate with the MLOps team to deploy machine learning models on non- embedded systems, including Nvidia Jetson systems. Manage model deployment, monitoring, and optimization in production environments. Qualifications & Experience * Bachelor's … is a plus. * Knowledge of mobile app development frameworks and platforms (e.g., iOS SDK, Android SDK) is a plus. * Experience in MLOps, including deploying machine learning models on non-embedded systems such as Nvidia Jetson systems. If interested, and you match the criteria above, please apply with your more »

are seeking a Senior Pricing Analyst to join their London-based team on a full time basis. The ideal candidate will possess expertise in machine learning, data science, and actuarial principles, particularly in motor and insurance claims analysis . This role will play a crucial part in shaping … the company's strategic direction by providing data-driven insights and recommendations to refine insurance products. Key Responsibilities: Develop and implement pricing models using machine learning and statistical analysis. Conduct data analysis to identify trends, anomalies, and optimization opportunities. Integrate actuarial methods into pricing strategies in collaboration with … Data Science, Statistics, Actuarial Science, Mathematics, or a related field. Proven experience in a pricing analyst role, preferably within the insurance sector. Proficiency in machine learning tools (e.g., Python, R, SQL) and familiarity with actuarial principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and more »

Build and productize pipelines. Develop and manage use cases. Conduct internal skills mapping for technologies such as R, Python, Azure, Machine Learning (ML), and Databricks. Essential criteria and experience Proficiency in one or more analytical tools eg R, Python, Tableau, Apache Spark, etc. Proficiency in Azure Machine Learning and Azure Data Bricks. Pro-activity and self-starting attitude. Excellent analytical and problem-solving ability. Interest in data science techniques and understanding of how to use them to answer real-world questions. Knowledge and experience of how to maintain data, tools and processes to generate reproducible more »

disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds in … daily basis, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine-learning platform. Location: Central London– 3 days in office/2 days remote Salary: £30,000 – £32,000 + healthcare, pension etc. Requirements … industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity to support projects on a machine-learning platform A good remuneration and benefits package Applications If you have top academics and would like to apply, we would love to more »

Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub … and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML more »