76 to 100 of 131 Machine Learning Engineer Jobs

Machine learning. A long way has come since Sci-Fi films like Terminator and iRobot got us thinking about robots taking over the world. But in the 2020s, hearing AI and machines in the same sentence means a world of innovation. This is a chance to be part of a brand new Machine Learning team within one … for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. You'll have worked as a Machine Learning Engineer or Data Scientist in the past, ideally centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS … tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In return, you'll be offered a supportive team culture with flexible, hybrid work options and room for professional growth. If you're eager to contribute More ❯

a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We design and deliver machine learning software packages, tools, and reference workloads that help internal teams and partners explore and evaluate the capabilities of upcoming Arm-based platforms. These efforts support early validation … performance analysis, and enablement of advanced workloads targeting machine learning use cases. Responsibilities: We apply our deep software expertise and collaborative spirit to work directly with leading technology companies, shaping the future of compute before silicon even exists. You will play a critical role in enabling and validating software stacks on pre-silicon platforms-including simulators, emulators, and … prototypes-to ensure the seamless deployment of high-performance solutions when silicon arrives.This includes providing architectural design guidance, as well as designing, developing, and deploying machine learning workloads tailored to pre-silicon environments. You will work closely with multi-functional teams to resolve functional bottlenecks and deliver optimized, production-ready solutions. You will be responsible for building proof More ❯

models. This is a greenfield project with significant scope to influence both its technical architecture and product impact from the ground up. We're looking for a hands-on Machine Learning Engineer with deep expertise in building, optimising, and deploying ML systems - particularly in the areas of speech, LLMs, or multimodal learning. You will take cutting-edge … research and turn it into production-ready models, enabling real-time, scalable, and reliable multimodal AI experiences. What You'll Be Doing Building and productising machine learning models for speech-to-text, text-to-speech, and speech-to-speech tasks Translating academic and internal research into scalable, maintainable code and services Developing and maintaining training pipelines, inference services … end-to-end features What We're Looking For Strong engineering background with experience shipping ML systems to production Deep familiarity with speech technologies (ASR, TTS), LLMs, or multimodal machine learning Proficient in Python, with expertise in ML frameworks such as PyTorch Experience building scalable ML pipelines (training, validation, deployment, monitoring) Knowledge of Docker, Kubernetes, and ML deployment More ❯

Machine Learning Workflow Engineer page is loaded Machine Learning Workflow Engineer Apply locations London, UK posted on Posted Yesterday job requisition id R3052 Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in … practice The ability to collaborate with, and influence, technical and non-technical people A passion for end-to-end ownership of solutions, from articulation to delivery Proven ability to engineer high-quality software Effective decision-making, with a focus on the mid to long term Value orientated and able to independently prioritise Finance experience is not necessary for this … them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section Similar Jobs (11) Network Engineer (Contract) locations London, UK posted on Posted Today C++ Engineer - Feeds (Contract) locations London, UK posted on Posted Today Quantitative Developer locations London, UK time type Full time More ❯

we're a diverse team of engineers, data scientists, intelligence analysts, and industry experts dedicated to bringing transparency to traditionally opaque industries. Job Summary: We're seeking a talented Machine Learning Software Engineer to join our growing engineering team and help build industry-disrupting analytics platforms. You'll work at the intersection of machine learning … responsibility and help shape our technical direction, incorporating new technologies and proven best practices Qualifications Education: BS in Computer Science, Engineering, Mathematics, or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed computing, version control Experience: 1+ years More ❯

Machine Learning Operations Engineer Department: SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services More ❯

a Knowledge Transfer Partnership (KTP) project with Fusion21 Ltd. The University of Manchester and Fusion21 Ltd are looking to recruit an individual with evidence of a strong grounding in Machine Learning and AI who will work alongside an MLOps Software Engineer (KTP Associate) to collaboratively deliver this 24-month project. The project aims to design and deliver … a disruptive technical innovation programme that embeds advanced Machine Learning, AI and software engineering techniques within the procurement process and supports the incorporation of a data-driven AI-enhanced business model and information management framework, supporting the company's strategic vision for digital transformation. Job reference: SAE-028736 Faculty/Organisational Unit: Science and Engineering Employment type: Fixed … include: The position will provide the successful candidate with a unique opportunity to work within a multi-disciplinary team of academics, industry practitioners and another KTP associate, and translate Machine Learning, AI, and Software Engineering techniques to deliver a robust Software/AI enabled solution. Candidates will require a PhD or a very strong Masters degree with relevant More ❯

The Central Technology Team within Arm develops key technologies which will form the foundation of future products. You will join a multinational, multifaceted, collaborative and highly motivated Machine Learning Hardware Architecture team in Central Technology to help craft the direction of Machine Learning in Arm IP designs. Job Overview: You will be working on a team … that enables the capabilities of Arm's machine learning accelerators by creating tools that push the limits of the architecture. These tools are used across the architecture group to demonstrate that proposed features are suitable for implementation and can be unlocked by the software teams. Responsibilities: Develop tools that expose proposed hardware features and evaluate the resulting performance. … of computer architecture. Good written and verbal communication skills. Experience developing software interfaces on large projects. Ability to understand accelerator designs. "Nice To Have" Skills and Experience : Familiarity with Machine Learning frameworks. Experience working with architects and modellers to test proposed features. Understanding of memory systems and hierarchy. In Return: You will join an established and experienced team More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term … Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP Experience … communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML Preferred Experience working with Databricks & Apache Spark to process large-scale distributed datasets As a client-facing role, travel may be necessary to support meetings and engagements. About Databricks Databricks is the data More ❯

content. We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You'll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines. We are … looking for a Senior Machine Learning Engineer to join our team and help build state-of-the-art generative systems for video and audio synthesis, performance transfer, and visual translation. This role is hands-on and technical, requiring experience in training and deploying deep learning models, a solid engineering mindset, and the ability to work cross … set best practices, communicate with stakeholders, and mentor junior engineers while delivering high-quality ML pipelines in production environments. Must Haves 5+ years of experience in software engineering and machine learning. Proven track record of deploying ML systems in production. A strong understanding of Machine Learning fundamentals. Strong experience with deep learning frameworks such as PyTorch More ❯

What You Will Do Design and implement scalable ML and deep learning models using PyTorch, TensorFlow, Scikit-learn, and other modern frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and … specialized domain applications. Drive innovation in prompt engineering and generation pipelines for AI-assisted systems. Skills and Experience You Will Need Required: 5+ years of hands-on experience in machine learning, with at least 2 years focused on deep learning and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge … of machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks. Working knowledge of CUDA, Nvidia GPUs, and distributed training. Experience with AWS services (S3, Lambda, EC2 More ❯

HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats. Job Description Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for … as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap. WHAT YOU'LL NEED TO SUCCEED: • Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. • Experience: 5+ years Technical skills: • Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune … from S3 compliant API's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy. • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery. • Demonstrated professional More ❯

Job Overview: The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm … experience in developing performance critical kernel on dedicated accelerator, GPU or CPU Graduate students in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques Overall high-level knowledge of computer architecture, systems, and HW-SW co-design Ability to develop … and work with large software systems in programming languages like Python Knowledge of cutting-edge deep learning libraries such as Tensorflow, and Pytorch Willing to learn and train large deep learning models on GPU-based systems Qualities that will help your application stand out: Experience with ML model design, optimization, and HW-SW co-development methodology ML Model More ❯

What if you could use machine learning to predict human behaviour, not in theory, but in commercially critical decisions that shape what people buy Building the next generation of decision intelligence software, leveraging large scale simulations and behavioural modelling to help global companies understand how customers respond to pricing, product mixes, and promotions. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing and scaling the ML systems that power this transformation.You'll work closely with Data Scientists, Engineers, and Product teams to build robust, production grade models that deliver real time insights through a modern SaaS platform. Expect a fast paced environment, end to end ownership, and technical challenges More ❯

We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented … the art ML approaches within your team(s).Participate in various agile rituals and related practices You Have: Minimum 3, ideally 5+ years of experience working as an ML engineer Some experience providing technical leadership on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area A proven track record of delivering complex ML projects … maintenance Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with More ❯

NewGen is seeking a Lead Machine Learning Engineer to create cybersecurity solutions working with cloud-based architecture (AWS Services). You will work directly the stakeholders to understand requirements and work with Army's Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software … is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and o Use programming languages like Python, Scala, or Java. Preferred Skills: o Certifications in Machine Learning/Artificial Intelligence/Data Science o Familiarity with agile development methodologies o 5-8 years of experience in a ML/AI development and/or More ❯

Here's what you'll be doing: Are you ready to shape the future of InsurTech with cutting-edge machine learning and AI? At Simply Business, we're not just using data; we're continuously evolving our platform with technologies like AWS, Snowflake, and Kafka to drive real value and inform company strategy. As a leading player in … the market, our mission is to remain at the forefront of data engineering, ML, and AI thinking, and we need a Senior ML Engineer who shares that ambition. We're looking for someone who is: A polyglot programmer, with expertise in Python and a genuine enthusiasm for picking up new languages like Kotlin and Rust. An excellent communicator, capable … and guiding Junior and Mid-Level Engineers, sharing your expertise and fostering growth. A reliable "go-to" person for tackling and resolving complex technical challenges. As our Senior ML Engineer, you'll: be hands-on in developing and continuously evolving our class-leading data and ML platform infrastructure, balancing maintenance with exciting greenfield projects. develop and maintain our real More ❯

payments and commerce from the ground up. Join us in shaping the future of payments and commerce. The role At Primer, we're building the future of payments, and machine learning will play a central role in that journey. We're looking for a hands-on Staff Machine Learning Engineer to build and scale our … Uncapped holiday, with 25 days minimum to be taken Co-working space access Workations & company retreat The best equipment for your role £500 towards your home office setup Generous learning budget Medical insurance A broad set of additional perks and benefits ( depending on location) Don't meet every single requirement? At Primer, we're dedicated to building a diverse More ❯

better decisions and help fashion partners find better audiences as the category-leading destination for every fashion shopper. Role We're looking for a commercially minded and technically strong Machine Learning Engineer to join our Product Listings team-focused on unlocking smarter, more scalable advertising through automation and optimisation. This is a hybrid role combining deep data … business outcomes. You'll collaborate closely with marketers, data analysts and engineers, and play a key part in shaping the future of how we scale our advertising. Responsibilities Productionise Machine Learning models into robust, maintainable systems-including retraining pipelines, monitoring, and performance alerting Build and evaluate ML models that support smarter paid marketing-e.g. product-level ROAS prediction … Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to More ❯

Transforming the Future with the Convergence of Simulation and Data Senior Software Development Engineer - Statistics and Machine learning Do you like a challenge, are you a complex thinker who likes to solve problems? If so, then you might be the new Altairian we are searching for. At Altair, your curiosity matters. We pride ourselves on a business … impacts company growth. Communication is open and teamwork is encouraged. What You Will Do: Work within the development team to extend and expand upon the extensive statistical, timeseries and machine learning capabilities of the WPS software product. Performance Areas Research existing and emerging approaches for the purpose of data science through the reading and understanding of academic papers … a robust and scalable manner Logical problem-solving approach and the ability to clearly communicate the situation and proposed solution to the wider team Familiarity with statistical, econometric timeseries. machine learning or other mathematical algorithms and their uses Preferred Requirements: Masters or PhD degree in a mathematical discipline A minimum of 6 years of experience in a software More ❯

Control & ML Engineer Paris, France (1/2 days a week remote) CDI, Permanent Position €50k+ 5V Tech is collaborating with a pioneering company at the cutting edge of robotics and medical technology. This fast-growing organisation is developing next-generation wearable devices designed to enhance mobility and independence for individuals with limited movement. They're now looking for … a Control & ML Engineer to join their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control … Training hybrid and end-to-end policies using reinforcement learning Developing accurate simulation models and enhancing system realism Writing efficient, production-level code in both C++ and Python Building algorithms for state estimation and motion trajectory optimisation Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control More ❯

outcomes, and better value for healthcare payers. As a Research Scientist at Odin Vision, you will implement and maintain state-of-the-art industry practices for efficient and reproducible machine learning processes. You will work alongside researchers and engineering teams to ensure that the processes are practicable and integrate well into existing structures. You must be able to … related degree program Experience: 5+ years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding of machine learning, neural networks, and other computer vision topics Hands-on experience with Python and PyTorch Hands-on More ❯

Lead AI/Machine Learning Series A Climate Data/AI Start Up £120,000 base + equity (3 days on site, Central London, 2 from home) Lead and scale a brand new Machine Learning function at one of the UK's fastest scaling Series A start ups. With heavy investment from Google Ventures and Series … B about to kick off early next year, this is a unique opportunity for a Lead, or senior ML Engineer who wants to take the next step in their career. This firm partner with a range of the largest banks, insurance and real estate firms in the world. They have built out a series of AI driven products and … these firms will experience due to severe weather events in the future. They are on their way to take over the climate risk industry. As Lead AI/ML Engineer you will work closely with senior stakeholders and product teams to drive the companies AI/ML strategy, remaining hands on, building out end to end GenAI features and More ❯

About the roleWe're looking for an experienced machine learning engineer to join us as the newest member of the Data Science Infrastructure team. The team is responsible for designing, developing, and maintaining the critical high-performance services that support our underwriting capabilities across the entire business. In addition we work closely with both the rest of More ❯

of the things on our roadmap you'll work on include: Optimising efficiency and robustness of Polaron's existing algorithms for material characterisation, exploration and optimisation; Adapting cutting edge machine learning methods for material science applications. We're looking for exceptional people who can contribute to a fantastic company culture and help us grow Polaron, so if you … Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new ideas and ML concepts to the rest of the team Technologies We Use Machine Learning: Python/PyTorch CI/CD: Github, Github Actions. Frontend/Backend: TypeScript with React/Next.js and Express/Prisma. Infrastructure: Docker, Kubernetes, Terraform (AWS). More ❯