deep learning engineer jobs in Calderdale

You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture.

You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.

About Turing: Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM,...

About Quantiphi: - Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. - Quantiphi has seen 2.5x...

Senior Machine Learning Engineer Up to 115k Xcede is working in partnership with Faculty, one of the UK's most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly complex, data-intensive environments. This is a senior engineering role for someone who wants to take ownership of end-to-end AI delivery. You'll lead the design and...

Role: Machine Learning Engineer (Robotics) About AssetCool AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and...

Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit...

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We're seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is...

We are looking for an experienced Senior Machine Learning Engineer to lead the design and production integration of ML into an established live trading system and drive its next phase of development. Building on our early ML research and prototypes, you will design, build, deploy, and operate production ML components that integrate directly with a real-time execution engine – improving...

Machine Learning Engineer Fully Remote - UK based Up to £90,000 + Benefits About the Role We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across...

Machine Learning Engineer Location - Remote (UK) Salary - £80,000 I am partnering with a product-led MarTech company building an AI-driven platform that helps teams make better decisions about digital content and performance. The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards...

You will work with telecommunications data including time series, network telemetry, and sensor data to address complex operational challenges in wireless technology.

Join OCI's Edge Security team as a Principal Engineer to architect and deliver cloud-scale DDoS protection. You'll lead design for high-performance detection and mitigation systems, drive automation and operational excellence, and set the technical direction for customer-facing DDoS capabilities across OCI's global edge. This role requires deep expertise in Linux networking data path and...

You will oversee 2–3 backend squads, shaping long-term microservices architecture using Java 21 and AWS. This role balances strategic technical leadership with hands-on mentorship to drive engineering excellence, security, and scalable system design. Why this role is remarkable:

You will work closely with engineering teams to understand their pain points and translate them into practical solutions — for example, building reusable components like commands, skills, and CI agents; designing and orchestrating custom agent workflows; developing low/no-code agents for faster adoption; and creating and maintaining knowledge bases connected via connectors and MCP servers.

You will shape how our engineers build, test, release, and monitor software, ensuring frictionless workflows while keeping ownership of business logic, test quality, and development practices firmly with the product engineering teams.

You will work right at the core of our R&D team, taking novel models from a whiteboard concept to a production-ready tool that empowers scientists to discover new drugs and engineer next-generation materials. If you crave ownership and want to build technology that actually accelerates scientific discovery, this is your home.

Senior / Staff AI Engineer (Python, ML Systems) - FULLY REMOTE High-growth AI | We're working with a well-funded, fast-scaling AI company building a highly ambitious product at enterprise scale. They're now looking to add Senior and Staff-level AI Engineers to help shape the next phase of their ML platform and establish strong technical leadership within the team. This is a product engineering...

You will shape both how interactions are built and what expressive capabilities are possible, translating cutting-edge research into robust, real-world systems.

You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will:

You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture.

You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.