101 to 125 of 1,499 Permanent Machine Learning Jobs

with our hardware. Experience: Proven track record of developing novel algorithms (papers in NeurIPS, ICML, ICLR, CVPR, or Nature/Science journals) Hardware Aware ML/Neuromorphic Computing: FPGAs, ASICs, analog computing chips, spiking neural network (hardware), edge AI Unconventional training algorithms Reservoir computing, self-constrastive learning, forward-forward … learning, evolutionary algorithms, equilibrium propagation Physics informed neural networks, or applied ML to physics problems Deep understanding of mathematics, algebra/topology - key words are latent space, intrinsic dimensionality Experience working with hardware as well is a bonus ...

quarter. What You’ll Do? Design and help develop systems that serve recommendations to over 200 million users. Drive ML roadmap creation and execution, specifically around feed ranking and recall-oriented candidate generation systems. Provide technical guidance in ML model formulation, implementation, and experimentation, and take end-to-end ownership … ML systems and key user satisfaction-based metrics. Drive architectural strategy and design for complex ML systems that support the needs of users, creators, and content stakeholders. Who are you? 8+ years of professional experience in software engineering focused on deploying machine learning models in production at scale. ...

learn more about Mission Technologies, click here for a short video: Job Description HII, Mission Technologies has a need for an AI/ML Engineer who will be responsible for designing advanced model architectures, developing machine learning pipelines, and optimizing AI systems for operational deployment in government … principles, theories, and concepts. General knowledge of adjacent technical fields and the ability to integrate multi-domain perspectives. Proven ability to architect and implement ML/DL systems in production or mission critical environments. Demonstrated experience solving complex problems through innovative and technically sound approaches. Experience supporting DoD programs. Clearance ...

Data Scientist (ML Engineer) Location: Manchester Salary: £49,387 to £56,515 per annum Vacancy Type: Permanent, Full Time The closing date is 18 June 2026 Job summary Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute … should we receive sufficient applications, so please don't delay your submission. Main duties of the job We're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team ...

Data Scientist (ML Engineer) Salary: £49,387 - £56,515 per annum Location: Manchester Vacancy Type: Permanent Closing date: 18/06/2026 The National Institute for Health and Care Excellence (NICE) is the independent organisation responsible for providing national guidance and advice on promoting high quality health, public health … should we receive sufficient applications, so please don’t delay your submission. Main duties of the job We’re looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team ...

Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data … statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading ...

Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data … statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading ...

Senior Machine Learning Engineer UK Wide | Defence AI | Up to £100,000 + Package A well-funded AI and Defence technology business is building one of the most exciting engineering capabilities in the UK. Backed by significant investment and experiencing rapid growth, they are delivering advanced AI solutions … across Defence, National Security and Public Sector programmes, helping organisations tackle complex, mission-critical challenges through Machine Learning and Large Language Models. As part of this growth, they are looking for Senior Machine Learning Engineers to join a high-calibre team shaping the future ...

POSITION SUMMARY: We are seeking a passionate Azure AI/ML Ops engineer to create a data platform and pipeline to enable advanced analytics. ESSENTIAL DUTIES: • Utilize Azure technologies like Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML … automate processes such as sentiment analysis, image identification, recommendation systems, and chatbots. • Implementing machine learning pipelines and workflows • Deploying and scaling ML models in production environments • Automating CI/CD pipelines to account for data, code, and model changes • Monitoring model performance and applying updates as needed • Ensuring ...

systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning … mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject ...

systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning … mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject ...

systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning … mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject ...

Engineer This is a standout opportunity to lead and shape a growing Machine Learning Engineering function, taking ownership of production-grade ML solutions that transform how data is used and commercialised across the business. THE COMPANY This organisation is a leading professional services firm with a strong … modern cloud, data, and AI platforms to unlock new products, improve efficiency, and deliver real business value. THE ROLE You will lead the ML Engineering capability, owning the end-to-end delivery of machine learning solutions and helping to build out the wider ML function. You'll operate ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

scalable, secure and responsible AI systems that create measurable business impact. The successful candidate will combine strong software engineering foundations with deep expertise in machine learning, Generative AI, cloud technologies and modern AI infrastructure. What You'll Be Doing Leading the technical direction of AI and Machine Learning initiatives across multiple business functions Designing, developing and deploying production-grade AI solutions Building and optimising Large Language Model (LLM) applications, RAG architectures and Agentic AI systems Developing speech-to-text, voice AI and accessibility-focused AI solutions Creating intelligent conversational experiences using modern AI frameworks Architecting ...

role of patents in providing a window into who is leading technology innovation, where, and at what pace. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is transforming how actionable insights are extracted from patent data. Information can now be accessed … aspects of the delivery process - from scoping support through to project delivery. The primary responsibility of this role will be the training of machine learning classifiers using patent data across a variety of technologies and industries. This supervised learning process is conducted using the proprietary LexisNexis Classification ...

fill the role of Artificial Intelligence (AI) Engineer to support our team in Northern Virginia. Responsibilities: Design, develop, and implement scalable AI/ML computing infrastructures and application stacks. Build and deploy machine learning models and AI solutions from scratch. Transform machine learning models into APIs … stakeholders on AI strategy, technology, and policy issues. Automate AI infrastructures for the data science team. Evaluate and implement best practices in AI/ML, data mining, and analytics. Qualifications: Master's in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field. 10+ years experience with 3+ years ...

Data Scientist (Python/SQL/AI & Machine Learning) Location: Newcastle Upon Tyne | Hybrid Salary: Competitive + Excellent Benefits Type: Full-time, Permanent Overview A leading financial technology and investment business is looking to appoint a Data Scientist to join its growing data and analytics function. This … portfolio analysis and business performance. Working alongside data engineers, analysts and business stakeholders, you will contribute to the development of modern analytical solutions using machine learning, AI and statistical techniques within a well-governed and evolving data environment. Key Responsibilities • Deliver end-to-end analytics solutions from data ...

your opportunity to be part of an innovative company that is revolutionising the way agriculture operates at their UK R&D facility. As a **Machine Learning Engineer - Robotics & Perception**, you will play a pivotal role in developing intelligent systems that are deployed in real-world environments, making … closely with robotics, embedded, and systems engineers to bring cutting-edge vision intelligence into production agricultural environments What You Will Do: - Design and implement machine learning pipelines for image segmentation, object detection, and 3D scene reconstruction. - Train and optimise deep neural network models using frameworks such as PyTorch ...

years, placing 4 people with them, and all 4 are still with the company. Our client is a rapidly growing AI and Machine Learning company, specialising in the research, development and deployment of advanced technology into Defence, security, intelligence and adjacent sectors. Their team includes highly experienced software … developers, data scientists, Machine Learning specialists and researchers, with strong academic, research and Defence backgrounds. They are now looking for a Senior Business Development Manager in Defence to join their senior team and help drive their next phase of growth. This is an excellent opportunity for an experienced ...

define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences. Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise … Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/ ...

ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good … content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms. As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction ...

ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good … content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms. As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction ...

datasets, with applications spanning molecular generation, protein representation learning, and uncertainty-aware prediction systems. This role is ideal for someone excited by frontier ML research but equally passionate about building robust, production-grade systems. You’ll Be Working On Developing large-scale foundation models for biological and chemical data … Building probabilistic ML systems capable of uncertainty estimation and Bayesian inference Training transformer architectures and latent variable models across molecular and genomic datasets Scaling distributed GPU training pipelines for multi-billion parameter models Working on generative modelling approaches for molecule and protein design Designing evaluation frameworks for biological plausibility, calibration ...

Building models scientists can trust. Cells contain real biological structure: metabolism, regulation, signalling, transport, and stress responses. How do we combine this knowledge with ML to build models that are predictive and biologically meaningful? Guiding better experiments. Useful models should help scientists understand uncertainty, compare hypotheses, and decide what … systems-oriented discipline. You should have strong foundations in one or more of: applied mathematics, statistics, optimisation, probabilistic modelling, causal inference, dynamical systems, scientific ML, or related areas. You may also be an exceptional applied ML engineer without a PhD, with a track record of building models for complex real ...