This role is hands-on and technical, requiring experience in training and deploying deep learning models, a solid engineering mindset, and the ability to work……
This role is hands-on and technical, requiring experience in training and deploying deep learning models, a solid engineering mindset, and the ability to work……
Work closely with product and creative teams to ensure models meet quality and production constraints. Strong background in machine learning and deep learning,……
Equivariant neural networks (SE(3)/SO(3)). In this role, you will develop deep learning approaches that operate on spatial molecular representations, integrate……
Track record of successful sales and business development experience. Support the preparation of regulatory assessments, market access strategies, policy……
Bachelor's or Master's degree, or equivalent project/research experience, in computer science, machine learning, computer vision, graphics, robotics, or a……
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses……
Health & Wellbeing – 33 days equivalent of annual leave, flexible benefits scheme, enhanced parental leave, on-site medical centre, enhanced sick pay,……
Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales……
You will work across the full model lifecycle for Fabric 2 and related models — from exploring new research and approaches to training and fine-tuning models.…
You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing……
You will be expected to move fast, run multiple hypotheses in parallel, identify signal early, and focus on outcomes rather than exploration for its own sake.…
As an amazing team player, you will collaborate with domain experts in (quantum) computer science, mathematics, computational chemistry, physics, and machine……
Deep understanding of reinforcement learning algorithms and optimization methods applied to vision and multimodal learning problems, with a focus on improving……
Health & Wellbeing – 33 days equivalent of annual leave, flexible benefits scheme, enhanced parental leave, on-site medical centre, enhanced sick pay,……
Sound understanding of defects within construction with concrete, steel, and masonry, including how these should be repaired and associated products.…
We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively……
Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced……
Experience working on the engineering team in a start-up, scale-up or product-driven company. The Senior Full Stack Software Engineer is a core member of a……
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth……
Strong working knowledge of how to store and query large datasets at scale: SQL fundamentals; relational (e.g., Postgres), analytical (e.g., BigQuery, Snowflake……
Health & Wellbeing – 24.5 days annual leave + 182 roster days off, flexible benefits scheme, enhanced parental leave, on-site medical centre, enhanced sick pay,……
Provides specialist technical support particularly through demonstrations of product capabilities (hardware and software) but also via sales presentations,……
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental……
PhD welcome but not required; the bar is the work, not the credential. You decide which questions are worth answering in FPGA versus cycle-accurate simulation.…
2 days of paid volunteer days. Hybrid working arrangements; 60% in office / 40% at home. Highly adaptable, you are okay with uncertainty and a fast-paced……
We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You'll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines. We are hiring remotely across the EMEA region.
We are looking for a Senior Machine Learning Engineer to join our team and help build state-of-the-art generative systems for video and audio synthesis, performance transfer, and visual translation. This role is hands-on and technical, requiring experience in training and deploying deep learning models, a solid engineering mindset, and the ability to work cross-functionally with research, product, and creative teams. As a senior member of the team, you’ll shape core infrastructure, set best practices, communicate with stakeholders, and mentor junior engineers while delivering high-quality ML pipelines in production environments.
Must Haves
5+ years of experience in software engineering and machine learning.
Proven track record of deploying ML systems in production.
A strong understanding of Machine Learning fundamentals.
Strong experience with deep learning frameworks such as PyTorch or TensorFlow.
Experience with training diffusion, transformer, or generative video models.
Proficiency in Python.
Experience building and maintaining scalable infrastructure (AWS, GCP, or custom solutions).
Familiarity with CI/CD workflows, testing, and development best practices.
Ability to mentor junior engineers and work independently.
Nice to Have
Prior experience in generative AI for video, audio, or multimodal content.
Experience with performance optimisation for ML models and pipelines.
Background in computer graphics, real-time rendering, or VFX pipelines.
Open-source contributions or published research in machine learning.
Entrepreneurial mindset or experience working with startups or fast-paced teams.