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Department: Academic/Bath Spa University partnership (BSU) Location: Birmingham (On-Site) Salary: £51,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education. The role: We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Computing programme. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. Please note this role is not eligible for visa sponsorship. What you'll be doing: As a Lecturer in Computing at Global Banking School, you will deliver modules based around the three main themes of the programme: Technology, Software, and Data. You will develop and deliver comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: • All aspects of planning, delivering, and assessing student work, ensuring that all learning outcomes are met, • Developing, updating, and improving course materials as appropriate, • Using a variety of learning and teaching methods/materials, • Actively engaging in staff development activities, peer observations, meetings and other administrative duties, • Understanding and keeping up to date with latest developments in your field and student support practices, • You will hold a Master's degree in a relevant subject area (PhD desirable), • You will have previous UK HE lecturing experience in the wider subject area, • You will be able to demonstrate extensive knowledge of two or more of the following areas:, • Programming and software development, • Web development, • Database systems, • Cloud computing, • Networking, • Cybersecurity, • IoT and emerging technologies, • Business IT systems, • IT management, • AI and Machine Learning, • Operating Systems, • UI/UX, • You will have experience supervising student work and providing support and feedback, • You will have experience of accurate reporting and ability to maintain thorough and organised student records, • You will be able to work under pressure, plan and prioritise own workload to meet tight deadlines, • You will have excellent communication, interpersonal and team-working skills, • You will hold a Postgraduate Certificate of Academic Practice or equivalent teaching qualification (or commitment to enrol on a teaching programme during the probationary period and complete within three years) or Fellowship of HEA (or international equivalent), • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

Department: Academic/Bath Spa University partnership (BSU) Location: Birmingham (On-Site) Salary: £51,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education. The role: We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Computing programme. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. Please note this role is not eligible for visa sponsorship. What you'll be doing: As a Lecturer in Computing at Global Banking School, you will deliver modules based around the three main themes of the programme: Technology, Software, and Data. You will develop and deliver comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: • All aspects of planning, delivering, and assessing student work, ensuring that all learning outcomes are met, • Developing, updating, and improving course materials as appropriate, • Using a variety of learning and teaching methods/materials, • Actively engaging in staff development activities, peer observations, meetings and other administrative duties, • Understanding and keeping up to date with latest developments in your field and student support practices, • You will hold a Master's degree in a relevant subject area (PhD desirable), • You will have previous UK HE lecturing experience in the wider subject area, • You will be able to demonstrate extensive knowledge of two or more of the following areas:, • Programming and software development, • Web development, • Database systems, • Cloud computing, • Networking, • Cybersecurity, • IoT and emerging technologies, • Business IT systems, • IT management, • AI and Machine Learning, • Operating Systems, • UI/UX, • You will have experience supervising student work and providing support and feedback, • You will have experience of accurate reporting and ability to maintain thorough and organised student records, • You will be able to work under pressure, plan and prioritise own workload to meet tight deadlines, • You will have excellent communication, interpersonal and team-working skills, • You will hold a Postgraduate Certificate of Academic Practice or equivalent teaching qualification (or commitment to enrol on a teaching programme during the probationary period and complete within three years) or Fellowship of HEA (or international equivalent), • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

Design, develop, and deploy advanced machine learning and deep learning models into production. Senior Machine Learning Engineer (Generative AI / LLMs). Senior Machine Learning Engineer.

ML / AI Engineer (Python/Azure), Fully Remote, £100,000 per annum.My client, a leading AI solutions company are currently looking to strengthen their team and bring on an ML / AI Engineer on a permanent basis.GenAI, ML Models as well as coding in Python.Build and integrate ML models into existing a

Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Machine Learning Senior Staff Engineer.

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 a

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisatio

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and c

Data‑centric Machine Learning (Synthetic data curriculum learning learned data mixtures etc. Key Skills: Robotics,Machine Learning,Python,AI,C / C++,OS Kernels,Research Experience,Matlab,Rust,Research & Development,Natural Language Processing,Tensorflow. Foundational Research is the dedicated core

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Lead Machine Learning Engineer. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content

Strong understanding of classical Machine Learning and modern Deep Learning methods. Work closely with Technology, Product and Data colleagues to help shape the data platforms that enable us to embed Machine Learning into our products and operational processes. Build and guide diverse teams that can

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Lead Machine Learning Engineer. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content

A premier quantitative research firm in Greater London is seeking an exceptional Machine Learning Engineer to join their ML and HPC Architecture team. Key responsibilities include optimising model inference, evaluating ML hardware, and working alongside experts to leverage cutting-edge technologies

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Lead Machine Learning

We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting‑edge of machine learning. You will collaborate across disciplines on a broad set of initiatives to help G‑Research leverage the next generati

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Lead Machine Learning Engineer. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content

Machine Learning Engineer (£90k-£150k + Equity) at Scarlet. As a Machine Learning Engineer at Scarlet, you'll deploy state-of-the-art models and build distributed agentic systems to accelerate market access for groundbreaking medical AIs. Possess 3+ years of experience shipping production‑grade

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Lead Machine Learning

We are hiring a Staff Machine Learning Engineer to work on translating cutting‑edge research into ambitious, customer‑centric speech solutions. Deep understanding of the modern Machine Learning stack, for example:. Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machin

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture, and defining best practices. Defining and implement

Experience applying machine learning to computational physics, chemistry, or materials science. Postdoctoral Scientist (Machine Learning). Join Quantemol to advance the frontiers of plasma science through the application of machine learning.

We’re looking for an Infrastructure Test Analyst who lives and breathes the foundations of modern platforms – networks, servers, cloud, deployments, the whole engine room.If you enjoy validating complex systems, spotting weaknesses before they become outages, and generally keeping chaos at bay,

Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Convers

We are seeking highly motivated and talented people to join the Boerboel team.As a member of the team you will be working with passionate and curious colleagues who thrive on solving complex problems.Boerboel is an office-first firm.While we offer flexibility to our employees remote work is not avai

Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation. Strong understanding of one or more deep learning frameworks, such as PyTorch.

As a Machine Learning Engineer at Scarlet, you'll deploy state-of-the‑art models and build distributed agentic systems to accelerate market access for groundbreaking medical AIs. Possess 3+ years of experience shipping production‑grade machine learning software.

A leading research firm in the UK is seeking a Machine Learning Engineer to join their ML and HPC Architecture team. This role involves collaborating with various internal and external teams to develop cutting-edge machine learning tools and technologies.

As a Machine Learning Engineer III on this team, you will design and implement scalable machine learning systems that optimize ad selection, campaign performance, and creative personalization at a global scale. Design, implement, and maintain large-scale machine learning pipelines for advertising us

As a Machine Learning Engineer, you’ll help bring powerful AI capabilities to life—shaping tools that support staff across Populous. You’ll collaborate closely with full stack developers and our AI Lead to prototype, fine‑tune and integrate machine learning models—particularly in natural l

Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We’re looking for a Junior Machine Learning Engineer on a 12‑month fixe

A pioneering healthcare technology firm is seeking a Machine Learning Engineer to join their Applied Machine Learning team. Ideal candidates should have experience in software production, a solid understanding of machine learning, and the ability to create innovative solutions that enhance medical d

Our Data Science mission is to build machine learning models in the production environment relative to Marketing, Customer Insights, and Safer Gambling and establish a strong culture of data‑driven decision‑making in our organisation's strategy. Passion for learning and keeping abreast of new te

We’re looking for a skilled Machine Learning Engineer with proven experience leading the end‑to‑end delivery of machine learning projects into production environments — from initial concept and data exploration through to deployment and monitoring. Have a good understanding of different mach

Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows. Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively t

Machine Learning Engineer – Recommendations. Develop and deploy machine learning models that optimise product relevance, content ranking, and user engagement. This isn’t a cog‑in‑the‑machine role.

Join to apply for the Machine Learning Engineer role at JD. We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy (.

Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. We are now looking for a Machine Learning Research Engineer to help build and deliver a platform that can automatically create Virtual Agents for o

As a Machine Learning Engineer in Scarlet’s Applied Machine Learning team, you will have the opportunity to work with some of the brightest minds in AI medical devices. Solid understanding of machine learning, statistics, and deep learning fundamentals. The Applied Machine Learning team at Scarlet

We’re looking for a Machine Learning Engineer to join our team and lead the charge in applying cutting-edge machine learning to cyber threat intelligence. Collaborate with other Data Scientists and Machine Learning Engineers to integrate and deploy scalable Machine Learning models. We use data sci

Proven experience in MLOps or DevOps roles within machine learning environments. Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? We are looking for a talented ML Ops Engineer to join our growing

As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. Get notified about new Machine Learning Engineer jobs in. Ongoing events and learning experiences, including our Conversations o

We’re looking for a Machine Learning Engineer who combines data engineering excellence with applied machine learning expertise to help us build our Customer Success Engine — a system that predicts, segments, and activates customer insights in real time. If you’re excited by data that drives re

Develop, maintain, and optimize scalable data pipelines & machine learning models based on key metrics for scalability, reliability, and real‑world impact. Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Understanding of ethical consideration

Machine Learning Engineer II, Marketing Testing. We are seeking a Machine Learning Engineer to work on two key areas within our marketing analytics team. Foundational knowledge in machine learning principles and statistical methods.

Engineering Manager - Machine Learning (Competitive + Equity) at Fast-scaling AI logistics platform. Engineering Manager - Machine Learning. Lead and scale machine learning teams to deliver cutting‑edge AI solutions.

As a Staff Machine Learning Engineer in Search, you’ll focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of user taste across music and talk content. You have a strong background in machine learning and recommender systems, bridging

Principal Machine Learning Engineer, Advanced Network Orchestration. We are seeking a highly experienced Machine Learning Engineer for a hybrid role focused on advanced temporospatial networking and resource management.

Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London. The ideal applicant will have experience using genomic data in a machine learning context. Exposure to and interest in probabilistic ML, causal ML, or active learning.