deep learning engineer jobs in Newcastle upon Tyne

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 - 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...

You will develop new approaches based on deep-learning methodologies to create fast emulators of large-scale geophysical models.

You will join Northumbria University’s Future of Ice on Earth research group, one of the largest and most active ice-sheet and ice-ocean modelling communities in the world.

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,...

AI Engineering Manager – Sports & Real-Time Intelligence 📍 London (Hybrid) Lead the development of AI-driven, real-time sports experiences used by millions of fans. This role sits at the intersection of machine learning, computer vision, streaming data, and personalisation, shaping how live sport is analysed, understood, and experienced. About the role As AI Engineering Manager, you’ll own...

You will design and implement novel approaches for model adaptation and reasoning, exploring techniques that improve generalization, controllability, and scientific understanding. - This includes mid-training strategies, post-training alignment, and inference-time optimization for complex workflows.

You will collaborate with experienced engineers on multi-million-pound projects, gaining invaluable hands-on experience while learning about civil engineering processes. Responsibilities include planning and coordination, ensuring safety standards, and actively participating in real construction projects.

Location - Remote, but requirement to meet up once a month for in-person collaboration day - UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and...

You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures.

You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow.

You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together.

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they're looking for a senior, hands-on Contract MLOps Engineer to help take ML...

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 own the engineering vision and execution of Keepnet's core platform, operating across the UK, EU, US, UAE, and Canada, supported by distributed offshore and nearshore teams.

You will not be expected to do everything yourself. Success in this role will be measured by platform reliability, delivery predictability, team health, and customer impact.

You will not be handed toy problems or isolated tickets. You need to be a system thinker and ready to tackle complex problems.

You will help turn messy, high-stakes workflows into robust AI-powered products, from architecture to deployment. Your work will directly shape MosaiQ's platform, its AI modules, and how clients experience AI in practice.

Position: Web Scraping Engineer - Javascript, Typescript Company: FlatPlan Website: https://flatplan.io Work hours: 10am - 6pm GMT / Mon - Fri Holidays: 29 days Summary Hi, I'm Kieran, CEO at FlatPlan. We're a SaaS business that enables media companies to deliver breaking news articles to millions of people on Apple devices. We're a small, passionate team that work closely with some...

Data Operations Engineer (Early Career) Location: London (hybrid 3 days onsite) Level: Graduate / Early Career The Opportunity We're working with a high-growth B2B SaaS startup building an advanced enterprise data and decision intelligence platform. They're looking for a Data Operations Engineer at an early stage in their career who enjoys working behind the scenes to keep complex systems...

Data Operations Engineer (Early Career) Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding. Location: London (hybrid 3 days onsite) Level: Graduate / Early Career The Opportunity We're working with a high-growth B2B SaaS startup building an advanced enterprise data and decision intelligence platform. They're looking...

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 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.

Senior Infrastructure Engineer - Mobile Device Services Pay up to £73,205 plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. DWP. Digital with Purpose. We are looking for a Senior Infrastructure Engineer for our multi-disciplinary Product team as part of our DWP Mobile Products service, to join our community of tech experts in DWP...

Senior ML & AI Engineer Remote (Bath office 1 day per month) Up to £80,000 About the Role We're partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They're now...