deep learning engineer jobs in Tyne and Wear

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 apply the latest advancements in ML and data science to enhance digital products and services. Own the full model lifecycle from prototype to production, including deployment, monitoring, and iteration.

You will have, a Master’s degree (or equivalent experience) in a relevant subject.

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...

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.

You will be joining a community that focuses on learning and development through regular lunch and learn sessions, investment in accredited professional courses or educational programmes.

You will be able to make an impact both internally and with clients and receive suitable recognition.

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.

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 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.

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.

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...

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.

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...

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...

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: - Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI. - Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by...

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 apply the latest advancements in ML and data science to enhance digital products and services. Own the full model lifecycle from prototype to production, including deployment, monitoring, and iteration.

You will have, a Master’s degree (or equivalent experience) in a relevant subject.

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...

You will apply the latest advancements in ML and data science to enhance digital products and services. Own the full model lifecycle from prototype to production, including deployment, monitoring, and iteration.

You will have, a Master’s degree (or equivalent experience) in a relevant subject.

You will apply the latest advancements in ML and data science to enhance digital products and services. Own the full model lifecycle from prototype to production, including deployment, monitoring, and iteration.

You will have, a Master’s degree (or equivalent experience) in a relevant subject.