deep learning engineer jobs in Milton Keynes

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...

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 help lead the transformation towards a DevOps culture by promoting automation, integrating practical AI, and fostering a continuous improvement mindset to enhance workflow efficiency, accelerate feedback loops, and support ongoing learning.

You will support this work by developing and advocating for the Open University’s Engineering manifesto and promoting best practices.

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...

You will utilize your technical expertise, innate curiosity and creativity to gain a deep understanding of customer needs, map out customer requirements and propose solutions.

You will architect, design and develop solutions prior to delivery.

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.

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...

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 need to be: - Committed - We're seeking people who are committed to personal development and a new career in Systems Engineering. - Keen to Develop - No matter how good our development programme is, it will require pro-active learning within your role; the faster you learn, the more accelerated your development will be.

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 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.

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...

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 help lead the transformation towards a DevOps culture by promoting automation, integrating practical AI, and fostering a continuous improvement mindset to enhance workflow efficiency, accelerate feedback loops, and support ongoing learning.

You will support this work by developing and advocating for the Open University’s Engineering manifesto and promoting best practices.

You will utilize your technical expertise, innate curiosity and creativity to gain a deep understanding of customer needs, map out customer requirements and propose solutions.

You will architect, design and develop solutions prior to delivery.