201 to 225 of 1,380 Machine Learning Jobs

making. Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well-defined modelling tasks. Build end-to-end ML pipelinesfrom feature engineering and preprocessing to deployment-ready model outputs. Apply advanced techniques such as NLP, time-series forecasting, anomaly detection, optimisation, or LLM/… exploratory data analysis. Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine-tuning. Experience building end-to-end ML pipelines, including model validation, optimisation, deployment, and monitoring. Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/ ...

Software Development, you will oversee the architecture, development, and delivery of all software components, spanning web applications, backend systems, and Machine Learning (ML) infrastructure. You will also be a key partner to the heads of Hardware, Design Engineering, and Animal Science, ensuring software is seamlessly integrated with physical … team while collaborating with cross‐functional leaders to drive innovation. Responsibilities Technical Leadership Define, implement, and scale the software architecture across web, backend, and ML systems. Maintain strong engineering standards for code quality, security, testing, and deployment. Lead key technical initiatives, contributing code and architecture reviews. Drive integration of software ...

critical challenges to the UK’s digital landscape. As a Principal Data Scientist you will: Lead on the continual development of Automation, Orchestration and Machine Learning capabilities Be a People Leader and manage 4-6 individuals Undertake pre-processing of structured and unstructured data Lead … development of predictive models and machine-learning algorithms Coach/mentor junior members of the team What you’ll bring UK DV Clearance or the ability obtain it (https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearancelevels/national-security-vetting-clearance-levels ...

curious Data Scientist to join our team and help transform complex data into clear, actionable insights that drive business performance. Youll use statistical methods, machine learning, and data visualisation tools to identify trends, solve problems, and support data-driven decision-making across the organisation. In this role, youll … data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML. Stay up to date with emerging tools, technologies, and best practices in data science. Youll measure success ...

solving. You will collaborate closely with clients and internal teams to design, build, and deploy end-to-end solutions. Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools and exposure to high-impact projects. Flexible working and a collaborative, curiosity-led culture … public sector, healthcare, finance, and commercial industries • Design and build end-to-end platforms using Palantir and modern data technologies • Apply advanced analytics and machine learning to real-world challenges • Influence technical direction and best practice across complex programmes • Mentor and develop junior engineers ________________________________________ Key Responsibilities: • Break down ...

business value Iterate and scale solutions into production-ready systems Upskill and mentor client teams as part of delivery Key Responsibilities Design and build machine learning/AI solutions using Azure-based technologies Work across the full lifecycle: problem definition data exploration model development deployment and optimisation Deliver … Lead workshops, assessments, and client engagements Support the development of reusable frameworks and best practices Key Skills & Experience Strong experience in Data Science/Machine Learning roles Hands-on expertise with: Python (Pandas, NumPy, Scikit-learn, etc.) SQL Experience working within Azure data environments , ideally: Azure Machine ...

strengthening operational resilience, and helping organisations realise the full potential of an AI enabled future. Key Responsibilities Build and ship production ready AI/ML features-from data ingestion and feature engineering to model training, evaluation, and deployment Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails … reviews, write unit/integration/e2e tests (including data and prompt tests), and uphold engineering standards and documentation Work with advanced AI/ML frameworks, cloud services, and container orchestration platforms As an AI Engineer, you are responsible for designing, building, and deploying scalable AI and machine learning ...

developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

prototyping Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines) Translating business and stakeholder needs into scalable technical solutions Continuously improving AI/ML systems, frameworks, and performance What We’re Looking For We’re looking for individuals who combine strong technical ability with curiosity and a problem-solving … mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/ ...

want to build AI systems that let users query complex datasets in natural language? Have you worked with machine learning models and wondered how they can power conversational analytics? Are you ready to apply LLMs and advanced analytics to financial market data? A London-based AI software company … financial users Key Details • Salary: £65,000 – £70,000 • Working model: Hybrid, 1 day per week in Canary Wharf, London • Tech stack: Python, ML algorithms, NLP, LLMs, AWS • Visa sponsorship: Not confirmed Interested? Please apply below. ...

About the Company You will own the machine learning and computer vision components of the YEO CFR SDK. This means the facial recognition model, the three-layer passive liveness detection system (software depth analysis, pixelation detection, rPPG), anti-spoofing performance, and injection attack countermeasures. You will work alongside … pulse signal in variable lighting, at varying distances, on devices with no depth sensor, at frame rates as low as 15fps. Qualifications Tools & proficiency ML Frameworks: PyTorch (expert — primary training), TFLite (expert — Android/iOS inference), CoreML (strong — iOS Neural Engine), ONNX (strong — cross-platform interop), MediaPipe (competent — Android face ...

operations research, with a strong focus on simulation, modelling, and real world system optimisation. You will work with large scale datasets to build machine learning models and develop advanced simulation tools that support critical planning decisions. The role: Design and build machine learning models to forecast … closely related quantitative discipline Strong experience in a Data Scientist or Operational Research focused role working with large, complex datasets Solid understanding of machine learning techniques such as gradient boosting, random forests and time series modelling Experience building and deploying models used in real world decision making (e.g. ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

designed with platform capabilities, data quality, performance and scalability in mind. Principal responsibilities Identify and define new data product opportunities enabled by advanced analytics, machine learning and large-scale data processing Evaluate and test emerging AI technologies and analytical techniques and their suitability for use within our Customer … customer needs into technical product requirements and delivery specifications Lead rapid prototyping and proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product concepts Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration ...

backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health , you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring … platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained ...

ML Engineer £500-£560 The Company They are a well-established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern … ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact. The Role In this role, you will: * Design and implement pipelines for training, evaluating, deploying, and monitoring detection models * Productionise detection models ...

cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will … Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management ...

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 … field. Daily, 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: Competitive + bonus + healthcare, pension, etc. Requirements ...

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 … field. Daily, 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: Competitive + bonus + healthcare, pension, etc. Requirements ...

site full time and can’t provide sponsorship for this position. Responsibilities: We are looking for a software and simulation engineer with experience in machine learning and artificial intelligence techniques. The role will be working in the design team alongside our device design experts using a range … techniques. This role will span from model building through full simulation automation and optimization. The role will require extensive knowledge of a range of machine learning techniques including multi-parameter optimization and inverse design. Automation of test data analysis and correlation to design variants is also necessary ...

Research & Community Technology Team 📍 Cambridge area (Hybrid working available) We are partnering with an interdisciplinary research team working at the intersection of artificial intelligence, machine learning, and community‐centred technology design. Work explores how communities can meaningfully contribute to the development, evaluation, and oversight of AI systems. Details … improve delivery pace and code quality. Maintain solid engineering standards, including testing, documentation, and general codebase health. Qualifications and Experience: PhD in computer science, machine learning, software engineering, or a related field, or equivalent industry or applied research experience. Strong software engineering skills in Python, with experience building ...

London/South East | Hybrid with secure site work Ncounter is working with a highly specialised AI and data consultancy delivering advanced analytics and machine learning capability into some of the UK’s most secure environments. They are growing their engineering team and are looking … impact programmes. You will work across modern data ecosystems, integrating large scale datasets, developing robust ETL processes and enabling the deployment of AI and machine learning solutions into operational settings. The work is technically challenging, often requiring creative problem solving in constrained environments where performance, security and reliability ...

company works with large-scale datasets across industries and focuses on delivering high-quality data annotation, curation, and analytics services that enable advanced machine learning and generative AI applications. About the Role The Music Annotator will support AI training initiatives by evaluating and describing musical audio with … instrumentation, sonic textures, and overall mood. Working remotely, the analyst will annotate audio at scale while maintaining strict quality and metadata standards required for machine learning datasets. This position requires strong listening skills, the ability to articulate musical elements clearly in writing, and the discipline to work efficiently ...

technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning … clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working ...