76 to 100 of 188 Deep Learning Jobs in London

Machine Learning Engineer Wearable Health Algorithms Join to apply for the Machine Learning Engineer Wearable Health Algorithms role at all.health Machine Learning Engineer Wearable Health Algorithms 1 week ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer Wearable Health Algorithms role at all.health all.health is at the forefront of revolutionizing … driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary Were looking for a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. Youll play a key role in building real-time, FDA-compliant algorithms that analyze continuous physiological signals … pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Responsibilities Design and implement machine learning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer) Develop algorithms that meet clinical-grade performance standards for use in regulated environments Preprocess and manage More ❯

of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics, audience segmentation, and … by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate … cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Monitor, troubleshoot, and continuously improve model performance in production environments. Mentor junior engineers and promote best More ❯

of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics, audience segmentation, and … by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate … cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Monitor, troubleshoot, and continuously improve model performance in production environments. Mentor junior engineers and promote best More ❯

Collaborate with senior engineers through code reviews, design discussions, and knowledge-sharing sessions. 🎓 What We’re Looking For MSc or PhD from a top university in Computer Science, Machine Learning, Mathematics, or a closely related field. Strong foundational knowledge of machine learning and deep learning , with hands-on experience using frameworks such as PyTorch , TensorFlow , or More ❯

PDE) Team to deliver first class coaching and training for our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well … as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and … help others succeed. Personality and Attitude A self-starter and self-manager who can engage people, keep them engaged and progressing through the qualification. Want to teach and ensure learning is taking place. A can-do and upbeat attitude to work, colleagues, clients and managers. An inquisitive mind, able to find things out and problem solve. Solutions focused with More ❯

you will: Lead, motivate and inspire teams of Data Scientists Create bespokemachine learningsolutions to model/solve problemsandto help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirementsand support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner … with developers and engineers to deploy, embed and scalemachine learning modelsto delivercomplex/critical projects Devise reusable assets, solutions and develop bestpracticesfor current and future business problems Lead analytical discussions and influence analytical direction ofclient'steams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities We are looking for experience … in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languageseg.Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologieseg.SQL, ETL, No-SQL, DW, and Big Data technologieseg.pySpark, Hive, etc. Experienced working with structured and also unstructured dataeg.Text, PDFs, jpgs, call recordings, video,etc. Knowledge of machine learning More ❯

ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and … business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of … senior client leadership and teams Contribute data science expertise to new sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data More ❯

we have the potential and the opportunity to change the way organisations operate. As we continue to grow, we're looking for a highly skilled and experienced Lead Machine Learning (ML) and artificial intelligence (AI) Engineer to drive the development and deployment of our advanced ML and AI learning solutions. In this pivotal role, you'll combine hands … successfully designing, building and deploying ML models into production environments at scale. Expertise in Python and relevant ML libraries. Strong experience with various ML algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform More ❯

science professional looking to take the next step in your career? Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists … data science solutions. Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to More ❯

science professional looking to take the next step in your career? Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists … data science solutions. Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to More ❯

a wide range of projects, contribute to our thought leadership, and make a tangible difference in the financial services landscape. If you're a passionate problem-solver with a deep understanding of AI and a desire to shape the future of finance, we invite you to join our team. We offer a dynamic and collaborative environment where you can … AI trends and industry best practices to drive innovation and deliver cutting-edge solutions. Connect to your skills and professional experience Technical Proficiency: Strong understanding of AI concepts, machine learning algorithms, and deep learning architectures. Familiarity with various AI solution design patterns and best practices for different business applications. Experience with data visualization tools and techniques to … Computer Science, Data Science, Business Analytics, or a related field, or equivalent. Experience in a consulting or solution design role, with a focus on AI and data-driven solutions. Deep experience in the financial services industry. Strong problem-solving, analytical, and communication skills. Relevant industry certifications (e.g., AWS Certified Machine Learning - Specialty, Azure AI Fundamentals or equivalent) are More ❯

and test your ideas with real-world data in an academic environment. Who are we looking for? The ideal candidate will have: • Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science … competitions, such as Kaggle • Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference • Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work on our data so you will need to understand how to develop your own models • Strong programming … work scheme • Monthly company events . Company: G-Research Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , NLP , United Kingdom More ❯

AI experts, legal and regulatory advisors, product counsel, UX/UI designers, electronics and PTO engineers, cybersecurity specialists, automation and CNC programmers, remote sensing and field network analysts, machine learning engineers, telemetry and data engineers, thermal engineers, CAD and antenna engineers, NPI engineers, high-speed RF engineers, software developers, ground station operators, GIS engineers, system and network integration engineers … Tools (STM32CubeIDE, ESP-IDF, JTAG) Embedded Software Engineer with 20+ years experience in Embedded C/C++, Python, Linux, RTOS, microcontrollers, network protocols, Model-Based Design Expertise in Machine Learning & AI, Deep Learning, Computer Vision, Data Science, Programming (Python, TensorFlow, PyTorch, MATLAB, Julia), Computational Modeling (FEA, HPC) Additional qualifications include MEng in Electronics and Computer Science, BSc More ❯

Social network you want to login/join with: Our SAIL (Solutions and AI Lab) practice is looking for an experienced Machine Learning Engineer to join the team. In SAIL, we build state-of-the-art AI solutions that help our clients with some of their biggest projects ranging from tools that support energy network risk forecasting and climate … clients solve their key data challenges. You will also support the growth of our team by helping them develop the necessary skills. Typical engagements include: Defining and implementing Machine Learning projects throughout their lifecyclefrom conception, data preparation, model engineering, evaluation, deployment, to monitoring and maintenance. Establishing and developing ML Ops frameworks and standards for clients, integrating them into their … production solutions and contribute to our company's growth. You should be capable of advising clients and actively participating in technical delivery. Your skills include: Passion for solving machine learning problems, with a blend of technical delivery and consulting skills. Advanced degree in computer science, mathematics, physics, engineering, or related STEM field. Strong problem-solving skills with a solid More ❯

Type: Contract (6 months, with extension likely) Start Date: Immediate/Within 2-4 weeks Job Description: We are seeking an experienced and highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading … with at least 3 years in AI/ML. Strong proficiency in Python , including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch . Solid understanding of ML algorithms , NLP , deep learning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS/Azure/GCP . Hands-on experience with MLOps tools (MLflow, SageMaker, Kubeflow, etc. More ❯

and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each … cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions design, architecture and development and deployment of large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing. - Working knowledge of generative AI and hands-on experience in … a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, SageMaker, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate) - Experience with automation and scripting (e.g., Terraform, Python) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising … skills for opportunity capture and proposal development - Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships - Experience building data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R More ❯

analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models More ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from La Fosse Data Science, AI & Machine Learning Consultant at La Fosse Machine Learning Engineer London (Hybrid) Up to 65,000 One of La Fosses best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting … edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. Im looking for a Machine Learning Engineer to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps … and multi-agent systemswith real-world impact on financial security and compliance. What Youll Do: Develop and deploy machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable More ❯

ranking and bidding for Amazon's programmatic advertising product. In this role you will work at the forefront of high scale low latency customer-facing advertising systems, mixing machine learning, game theory and feedback control. Your work will affect multi-billion dollar businesses, and you will be responsible for designing, testing and delivering significant breakthrough's for Amazon's … Amazon's advertisers and their objectives, and think long-term about how to turn those objectives into products and technical capabilities Understand the latest literature on auction theory, machine learning and measurement to guide strategic investment for the organization A day in the life Be immersed in Sponsored Display's auction data: candidate ads, objectives, bids and outcomes Design … and validate new auction mechanisms or parameterizations Take technical leadership over turning prototypes into shopper- and advertiser-facing software Stay abreast of the latest trends and opportunities in machine learning, economics, auction theory and measurement Be an advocate and expert for SD's auction to leaders and stakeholders inside and outside advertising About the team Sponsored Display is a More ❯

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of … We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting for multiple positions, however please only … with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in the cloud More ❯

EDA engineers, robotics and ethical AI experts, legal and regulatory advisors, product counsel, UX/UI designers, electronics engineers, PTO engineers, automation engineers, CNC programmers, network security analysts, machine learning engineers, telemetry engineers, data engineers, data scientists, cabling, IT and network infrastructure engineers, and field application engineers. The architecture board will oversee the verticals of business modeling, space communication … JTAG) Embedded Software Engineer with 20+ years experience, Masters in Electronics & Telecommunications, proficient in Embedded C/C++, Python, Linux, RTOS, and hardware platforms Additional key skills include Machine Learning & AI, Deep Learning, Computer Vision, Data Science, RF Design, PCB design, 5G, macro/m-MIMO, Satellite, High-Speed RF applications, VHDL & FPGA Design Security certifications: CISM More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Machine Learning Engineer, London Requisition ID: 47818 Business Unit: Fitch Group Category: Information Technology Location: London, GB Fitch Group is currently seeking a Machine Learning Engineer based out of our London office. As a leading, global financial information services provider … grow, innovate, and make a difference. Want to learn more about a career in technology and data at Fitch? The Fitch Groups AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position … Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelors More ❯

Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity More ❯

Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity More ❯