26 to 50 of 100 Permanent Machine Learning Engineer Jobs

scoring, creating efficient algorithms, data quality improvement and other related activities? Then Thomson Reuters Special Services (TRSS) is looking for you! About the Role As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application development and deployment to model … customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer. As a Generative AI and Machine Learning Engineer, you will: Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed … new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data. Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical More ❯

Senior Machine Learning Engineer £90000 - 100000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Machine Learning Engineer - 6-Month FTC £90,000 - £110,000 UK-wide (Hybrid: London client-site) Our client is a leading AI consultancy and software company delivering impactful, human-centric AI solutions to government, industry, and … With a proven track record across critical national projects, they combine deep technical expertise with a pragmatic approach to solving complex, high-stakes problems. They are now seeking a Machine Learning Engineer to join their London Government team on a 6-month fixed-term contract . This role offers the opportunity to design, build, and deploy production … part of a high-calibre team with exposure to cutting-edge thinking in AI engineering. This is a role for someone who wants to move beyond experimentation and bring machine learning into live production systems where it makes a measurable difference to public services. If you have the technical capability, the clearance, and the drive to deliver meaningful More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines, owning our Azure … ML platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right? Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer Location: Hybrid – HQ is Paddington, Central London. We would love to … 68k base + Bonus & awesome benefits! In regard to you...it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you're ready to build More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines, owning our Azure … ML platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right? Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer Location: Hybrid – HQ is Paddington, Central London. We would love to … base + Bonus & awesome benefits! In regard to you…it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you're ready to build More ❯

Job Title: Machine Learning Engineer AI/ML Maestro Location: Colorado Springs, CO Huntsville, AL This position is open for a Senior AI/ML Engineer specializing in reinforcement learning (RL) and defense-related modeling and simulation. Candidates must meet the general requirements below to be considered. Additional qualifications for senior-level applicants are listed … throughout the description. Who You Are: You wield artificial intelligence like a six-shooter, deploying machine learning algorithms with the precision of a marksman. You're a problem solver who doesn't flinch at complex military simulations, integrating AI with DoD frameworks to provide decision-makers with real-time insights. With a sharp mind for AI/ML … future and unleash your full potential. Join us if you're ready to make a real impact and redefine the future. What You'll Do: Design, develop, and integrate machine learning models into defense simulations and real-world decision-making systems. Apply a broad range of AI/ML techniques, including supervised learning, unsupervised learning, and More ❯

Senior Machine Learning Engineer - BLAW/BGOV/BTAX Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg Law, Tax & Government (BLAW/BTAX/BGOV) delivers AI-powered solutions that integrate trusted editorial content and billions of documents and data points into the workflows of legal, tax, accounting, and government professionals. Our … including statistical models, deep neural networks, language models & third-party generative LLMs. We work closely with product managers, software engineers and domain experts in an agile environment. In general, Machine Learning projects have an intrinsic dose of uncertainty, so a good fit for our team is a person who is self-driven, proactive, comfortable dealing with uncertainty and … being a teammate and an effective communicator are important for success in our team. What's in it for you: As part of our team, you will be developing machine learning (ML) models to address our business needs. You will drive, design and develop machine learning solutions. The right combination of cross-field ML techniques, deep More ❯

Develop, maintain, test, and review code for software libraries and tools used in training, visualizing, and deploying neural networks on Lightmatter hardware accelerators. Adapt standard machine learning methods to best leverage the modern heterogeneous computing environment which includes our revolutionary computing chips. Work closely with Machine Learning Scientists to develop and productize novel machine learning … Engineering team to understand real world customer scenarios and provide guidance on model architecture and implementations that take advantage of our hardware. Understand, analyze, and exploit the interplay between machine learning accelerator software and hardware, including data preprocessing, streaming, batching, quantization, adaptors, and distributed workloads for Large Language Model (LLMs.) Create Lightmatter-specific tools that can interoperate between … Machine Learning ML frameworks. Minimum Requirements Masters degree in Computer Science, Machine Learning, or related discipline, or foreign degree equivalent, plus four (4) years of experience in production software engineering. The experience (which may be gained concurrently) must also include: 4 years of experience in Python and C++, including software architecture and development in a multi More ❯

years continuous residence in the UK up to the present. About the Role You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be Doing You … are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non … technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools More ❯

Job Title: Machine Learning Engineer Location: Hybrid - Travel to SCIFs in DMV area as and when needed Clearance: Top Secret or higher Salary: $180k-$215k + Equity Join a pioneering company at the forefront of Intelligent Exploration and Enterprise AI. This innovative organization is seeking a Machine Learning Engineer to play a crucial role … in enhancing their cutting-edge AI Platform. With a focus on bridging machine learning, data engineering, and software development, this position offers exciting career advancement opportunities for those looking to move into senior engineering roles or technical leadership. The company is known for its dynamic culture, commitment to innovation, and a collaborative environment that fosters professional growth. As … applications, considering current trends and future growth. Collaborate with Technical Product Managers to drive usability enhancements, ensuring products meet user expectations. What We're Looking For: Proven experience in machine learning, data engineering, or software development. Proficiency in Python, particularly with SDKs for data visualization. Strong problem-solving skills, especially in optimizing performance and scalability. Ability to work More ❯

Senior Machine Learning Engineer - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers … large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. … helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate ML models, algorithms More ❯

Overview We are looking for exceptional machine learning engineers to work alongside our quantitative researchers on cutting-edge machine learning problems. As a member of the Core Technical Machine Learning team, you will be engaged in a mixture of individual and collaborative work to tackle some of the toughest research questions. In this role … quantitative research. Past Projects Implementing ideas from a recently published research paper Writing custom libraries for efficiently training on petabytes of data Reducing model training times by hand optimising machine learning operations Profiling custom ML architectures to identify performance bottlenecks Evaluating the latest hardware and software in the machine learning ecosystem More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers … data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that … can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers … data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that … can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them More ❯

right vacancy comes along. The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams. We … review process; a career progression framework; and plenty of opportunities to learn new things. The Role In this role, you'll be designing, building and continuously improving the algorithmic, machine learning systems and decision-making processes that power forecasting at Deliveroo. Our goal is to provide accurate forecasting models across Deliveroo domains and markets at the appropriate level … The role will involve working with partners in our Finance & Strategy team and require strong collaboration and creative problem-solving skills. You are someone who knows the fundamentals of machine learning and/or operations research and knows when they should be applied, and ideally have experience with time series analysis or forecasting. You are a keen problem More ❯

be part of a collaborative, forward-thinking environment where your contributions will directly shape the future of real estate technology. Role Responsibilities Design, develop, and implement generative AI and machine learning solutions for commercial real estate. Apply large language models to analyse financial documents and market datasets. Engineer and optimise prompts, as well as evaluate LLM outputs … performance post-deployment, making improvements based on feedback. Collaborate with product and engineering teams to deliver solutions aligned with business goals. Role Requirements 2-4 years' experience in applied machine learning and generative AI, including work with large language models. Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods). Proven … ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯

Lead Machine Learning Engineer (m/f/d) - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will step up and take responsibility to create cutting-edge AI solutions that empower our business while … grow according to their needs and abilities. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum 5 years of experience implementing machine learning projects. At least 2 years in a senior or lead role. Demonstrated expertise integrating modern LLMs into production systems. Leadership skills: Proven leadership in driving technical projects More ❯

platforms. About the Role Roku is building a world class voice system that is used by millions of Roku users. The Roku Voice team is looking for ambitious experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems and … make pragmatic technical decisions Qualifications 5+ years hands on experience in building challenging production systems Strong CS fundamentals, with the ability to write algorithms with ease Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech Experience with advanced machine learning techniques, including LLM and generative AI … Proven familiarity and experience deploying and maintaining machine learning models (transformer based models in production is a plus), including identifying the right KPIs and objective functions Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java, Python, C++) Experience building in-production NLU and/or ASR systems Bachelor Degree required. MS in Computer More ❯

Overview Machine Learning Engineer - PyTorch/C++/NPU Architecture We are partnered with a global semiconductor leader seeking a Machine Learning Engineer to join their NPU Architecture Team. This is a chance to shape the future of energy-efficient ML technology used in billions of devices worldwide. Responsibilities Develop and enhance ML compilers … please see our Privacy Notice () Company European Tech Recruit Requirements Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Ireland, Machine Learning, NLP More ❯

focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments. Responsibilities Job Description: Iron EagleX is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team in Crystal City, VA. The ideal candidate will specialize in AI-driven automation, prompt engineering, and machine learning … on project needs. Job Duties Include (but not limited to): Develop, optimize, and implement AI workflows with a strong focus on prompt engineering and automation. Design and fine-tune machine learning models to enhance performance and effectiveness. Research and apply best practices for large language model (LLM) utilization, including prompt orchestration and fine-tuning techniques. Develop and integrate … AI agents into data workflows, leveraging state-of-the-art frameworks. Apply advanced prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, self-consistency, and retrieval-augmented generation. Utilize frameworks like LangChain and DSPy to design, test, and optimize prompts. Address token limitations, cost trade-offs, and model-specific constraints across various LLMs (ChatGPT, Claude, Llama More ❯

The Product: AWS Machine Learning accelerators are at the forefront of cloud innovation and power some of the most advanced Generative AI applications on AWS. Our custom silicon - including the Inferentia chip for ML inference and the Trainium chip for ML training - delivers industry-leading performance and cost efficiency at scale. These are powered by the AWS Neuron … Software Development Kit (SDK), which includes a deep learning compiler, runtime, and native integration with popular ML frameworks like PyTorch, TensorFlow, and MXNet. Customers such as Snap, Autodesk, Amazon Alexa, and Amazon Rekognition are already benefiting from this technology at scale - and we're just getting started. The Opportunity - Tel Aviv: We're excited to expand the AWS Neuron … to the performance and scalability of ML workloads across the cloud. Our focus: creating a robust, high-performance toolchain that accelerates innovation in Generative AI. You: As a Senior Machine Learning Compiler Engineer in Tel Aviv, you'll lead the development of cutting-edge compiler technologies, optimize large-scale ML workloads, and bring new hardware to life. More ❯

to be part of tomorrow's health today, we want to hear from you. Are you ready to lead the charge in transforming enterprise AI initiatives? As a Senior Machine Learning Operations Engineer at McKesson, you'll be at the forefront of our big bet AI projects, harnessing the power of machine learning to drive … solutions within our MLOps enterprise platform. This is a 12-month Fixed Term Contract role in which you will be part of a dynamic team dedicated to crafting robust machine learning applications at scale. Your expertise will guide the detailed technical design, development, and implementation of state-of-the-art ML solutions. You'll not only design and … for this position €69,000 - €115,000 Company: MCKESSON Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Ireland , Machine Learning , NLP More ❯

Senior Machine Learning Engineer £90000-110000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior Machine Learning Engineer - Defence & Security £90,000 - £110,000 Gloucester Area Hybrid (2-3 days on-site as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance click apply for More ❯

manufacturing. With a global presence and a growing UK footprint, this company is renowned for pushing boundaries and delivering innovation across high-impact sectors. Your new role As a Machine Learning Engineer, you'll be instrumental in designing and validating novel ML models to optimise manufacturing processes and material compositions. You'll collaborate with cross-functional teams … What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world … visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving mindset and self-motivation Desirable Skills: * Master's degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure More ❯

Software AI/Machine Learning Engineer Contract/FLEX 40 hours weekly Azure Tool Set is a MUST 6-12+ months Onsite As a Machine Learning Engineer on our core Software AI team, you will be at the forefront of designing and developing cutting-edge GenAI applications. You will be working closely with More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in finding opportunities to innovate and differentiate Graphcore's technology. We seek … If you're excited about advancing the next generation of AI models on cutting-edge hardware, we'd love to hear from you! Responsibilities and Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make … hardware. Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C More ❯