351 to 375 of 465 Machine Learning Engineer Jobs

London | Hybrid/Remote | £70,000 - £90,000 + stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and … us means you’ll be part of a collaborative, hands-on team where your work directly contributes to how we assess and manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You … of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn. Responsible for creating proprietary data enrichment algorithms. Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to More ❯

London | Hybrid/Remote | £70,000 - £90,000 + stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and … us means you’ll be part of a collaborative, hands-on team where your work directly contributes to how we assess and manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You … of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn. Responsible for creating proprietary data enrichment algorithms. Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to More ❯

team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview: We are looking for an independent, dedicated Senior or Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG's … mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you'll be doing: Develop and improve core generative models for graphics and video processing for a variety of applications, such as … the team in core R&D work with other teams within Sony Interactive Entertainment What we're looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python More ❯

This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-making. Client Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for … financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborate with … ML models with pricing methodologies and identify opportunities for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. … Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production Degree in Computer Science, AI, Big Data, or equivalent More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to … these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to … these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to … these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to … these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to … these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge 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 More ❯

We are seeking a skilled Software Engineer to join our team at a leading global consumer device company. In this role, you will support the development of innovative product features and human-computer interaction. You'll work cross-functionally with machine learning scientists, sensor architects, and software engineers to build the next generation of sensing technologies. The … will have expertise in building software systems to support embedded systems programming and on-device algorithm implementation and experience with API and web UI development. Additionally, working knowledge of machine learning and signal processing tools are strongly preferred. Qualifications: 5+ years of software engineering experience. Expert in Python and proficient in Objective-C, C++, or similar low-level … Demonstrated ability to quickly learn and modify large, existing codebases. Experience designing high performance software and algorithms for resource constrained embedded systems. Experience in creating high-performance implementations of machine learning, deep learning algorithms. Location: San Diego, CA (onsite) Duration: 12+ months Pay Rate: $60/hr. - 80/hr. (DOE More ❯

venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role We are hiring … a Machine Learning engineer. Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as needed. Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case. … papers and develop ideas on how they could be applied to video security use cases, and convert those ideas to working code. Requirements You should be a good software engineer who enjoys writing production-grade software. Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning) Keeping up with the latest in More ❯

work, and everyday life. They are looking to develop an in-house voice generation and audio delivery system to enhance accessibility and emotional engagement and searching for the ML Engineer to work remotely that's going to make it happen! Senior Machine Learning Engineer - Speech/Voice AI (remote)Contract length: 3-monthIR-35 determination: OutsideLocation … life. They offer businesses a personal productivity app featuring tools for task breakdown, priority-setting, and structured support to manage anxiety, procrastination, and executive dysfunction. The platform combines tailored learning resources, assistive technology guidance, and mental health content in one accessible space. It serves both students and professionals, helping them build resilience, independence, and sustainable wellbeing through behaviour-change … for real-time playback and consistency across devices.- Create an inclusive, emotionally intelligent audio experience that deepens user connection and supports lasting behavioural wellbeing. Required skills:- Strong background in Machine Learning/Deep Learning with hands-on experience in speech or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2). More ❯

Senior ML Engineer - GenAI specialist position (based in Dubai, UAE - relocation support provided) Please note: This is an on-site position based in Dubai, United Arab Emirates. We are actively seeking talented Data Scientists who are interested in relocating. We provide the following support: Full visa sponsorship Airline tickets Hotel stay (for up to 30 days) Health insurance Company … AI strategy. Develop Advanced RAG Systems: Design, build, and optimize robust RAG pipelines to ground LLMs in external knowledge sources, ensuring factual accuracy and relevance. Build AI Agentic Workflows: Engineer and deploy collaborative multi-agent systems using frameworks like AutoGen or CrewAI to automate complex tasks and decision-making processes. Master Embedding Strategies: Create and manage high-quality vector … Graphs: Utilize LangChain or LangGraph to develop, prototype, and productionize complex, stateful applications and workflows powered by LLMs. Model Integration & Deployment: Fine-tune, evaluate, and deploy LLMs and other machine learning models into production environments using MLOps best practices. What did we order? Experience with cloud platforms (AWS, GCP, or Azure). Bachelor's or Master's degree More ❯

Senior ML Engineer - GenAI specialist position (based in Dubai, UAE - relocation support provided)You could be just the right applicant for this job Read all associated information and make sure to apply. Please note: This is an on-site position based in Dubai, United Arab Emirates. We are actively seeking talented Data Scientists who are interested in relocating. We … AI strategy. Develop Advanced RAG Systems: Design, build, and optimize robust RAG pipelines to ground LLMs in external knowledge sources, ensuring factual accuracy and relevance. Build AI Agentic Workflows: Engineer and deploy collaborative multi-agent systems using frameworks like AutoGen or CrewAI to automate complex tasks and decision-making processes. Master Embedding Strategies: Create and manage high-quality vector … Graphs: Utilize LangChain or LangGraph to develop, prototype, and productionize complex, stateful applications and workflows powered by LLMs. Model Integration & Deployment: Fine-tune, evaluate, and deploy LLMs and other machine learning models into production environments using MLOps best practices. What did we order? Experience with cloud platforms (AWS, GCP, or Azure). Bachelor's or Master's degree More ❯

Machine Learning Engineer (LLM) Transform Language Models into Real-World Applications We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role … only intelligent, but also safe, trustworthy, and impactful at scale. What You'll Do Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma) Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety. Evaluate models - Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high … failure as part of growth - you're here to level up. Possess humility, hunger, and hustle, and lift others up as you go. Requirements Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation). Proficiency with PyTorch (preferred) or TensorFlow. Skilled in prompt engineering and dataset curation for alignment with tone, safety, and More ❯

About the Role Were looking for a Machine Learning Engineer to design, build, and optimise next-generation Conversational AI systems that power intelligent, human-like digital assistants across the public sector. This is a permanent position offering remote working and flexibility with occasional client visits, expenses covered. Youll work on agentic AI workflows , fine-tune large language … and retrieval systems to enhance contextual understanding. Collaboration: Partner with data scientists, engineers, and designers to continuously improve agent performance and reasoning. Who You Are Youre a hands-on engineer whos excited by the intersection of AI, language, and systems engineering - someone who thrives in a collaborative, mission-driven environment. You bring: Proven experience deploying machine learning More ❯

About the Role We’re looking for a Machine Learning Engineer to design, build, and optimise next-generation Conversational AI systems that power intelligent, human-like digital assistants across the public sector. This is a permanent position offering remote working and flexibility with occasional client visits, expenses covered. You’ll work on agentic AI workflows , fine-tune … retrieval systems to enhance contextual understanding. 🤝 Collaboration: Partner with data scientists, engineers, and designers to continuously improve agent performance and reasoning. Who You Are You’re a hands-on engineer who’s excited by the intersection of AI, language, and systems engineering - someone who thrives in a collaborative, mission-driven environment. You bring: Proven experience deploying machine learning More ❯

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of … AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the … minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance. You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle More ❯

ML pipelines for time-series forecasting. Central London office based £90-120k+ highly negotiable Discretionary bonus 50-100% of salary An opportunity for an elite Machine Learning Engineer to join a very small, top-flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is … design, implementation, and maintenance of ML pipelines for forecasting. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast. Responsibilities: Build scalable machine learning pipelines for predominantly time-series forecasting Collaborate with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in More ❯

closely 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, potentially while mentoring more junior colleagues … libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Enthusiasm about using machine learning for science and engineering Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills - with teams … colleagues 3-6 years' experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP More ❯

tens of millions of policies and raised over $200 million in funding. We're only just getting started. Who we're looking for We are looking for a Lead Machine Learning Engineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating pricing processes to enable faster, more accurate … Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science More ❯

of policies so far, and raised over $200 million in funding. And we're only just getting started. Who we're looking for We are looking for a Lead Machine Learning Engineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating Pricing processes to enable faster, more accurate … Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science More ❯

An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to … features across a production platform Working across Python and TypeScript , integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we’re looking for: Strong commercial experience building and deploying More ❯