5024 Python jobs

About us Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary As a research intern at Graphcore, you will advance AI research and investigate new ideas that push the limits on important AI/ML problems. Specialized hardware has driven progress in AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to this exciting field. We're looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research. During your internship, you'll investigate a research question that relates to machine learning or accelerated computation. Practically, this means designing experiments, implementing models and algorithms, exploring data and presenting results, with the aim to present work publicly to the wider research community. You will be largely self-directed in your research activity, with freedom to pursue the most promising approach, and with the benefit of appropriate mentoring and guidance. Our team is interested in numerous topics across the field, including (but not limited to) efficient training and inference, improved model capabilities in the areas of factuality and reasoning, image and video generation, world models and molecule generation for life science applications. The Team Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. Candidate profile We're looking for technically-minded, highly-motivated and adaptable problem-solvers who can thrive in our collaborative team. Essential A PhD student working in the field of Machine Learning and Artificial Intelligence, or be pursuing a Masters degree in a relevant field with demonstrable research experience (for example, interesting ML publications); Able to demonstrate your coding skills (Python, C++) through projects or previous work experience, and have experience of algorithm implementation in machine learning frameworks such as PyTorch; Passionate about the field of AI, both theory and practice, with a keen interest to continue learning. We are excited to hear about your research! Please provide a short summary of a recent project with your application (and we'd love to hear about any other relevant work). Benefits In addition to a competitive salary, our centrally located offices provide a well-stocked kitchen with healthy food, drinks and snacks and our very own barista (Bristol only for now, but we have great coffee everywhere). We have an active social scene too: cycling, yoga, running, board games, table tennis, football, to name a few. We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

A leading AI research company is seeking a Research Intern to advance AI research and tackle machine learning challenges. The role involves designing experiments, implementing models, and presenting findings. Candidates should be PhD students or Master's degree pursuers in relevant fields with strong coding skills in Python and C++, along with a passion for AI. This position offers a competitive salary and an inclusive work environment with a vibrant company culture.

Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore and Sydney. We have raised more than $500m in funding and are now valued at $2.7bn. Our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. As a Senior Cloud Support Engineer at Thought Machine, you're stepping into a senior technical role that goes well beyond incident response. At this level, you're expected to own, influence and elevate how we deliver support globally, across both our hosted SaaS product and bank-hosted Vault deployments. You'll not only handle our most complex technical issues, but also mentor junior engineers, shape tooling and processes, partnering closely with Engineering and Product teams to drive continuous improvement across the platform. You bring a deep understanding of cloud-native systems and distributed architecture, and will become a domain expert in Vault Core. This is a highly visible role where your technical judgement, leadership and strategic problem-solving will directly impact client outcomes and platform quality. Duties Lead the investigation and resolution of high-priority or complex incidents, coordinating with engineering and delivery teams to drive timely solutions Own escalations end-to-end, providing technical depth, structure and calm during high-pressure client situations Develop and refine tools, dashboards and automation to improve support delivery, observability and onboarding Identify recurring issues, propose and lead solutions that improve platform stability, reduce effort and enhance client experience Provide mentoring, training and technical oversight for IC1 and IC2 engineers Contribute to internal documentation, playbooks and root cause analysis reports, with a focus on accuracy and knowledge sharing Support both hosted and self-managed deployments of Vault, collaborating with client teams on best practice configurations Own and maintain Enterprise relationships from a technical perspective Actively shape the evolution of our support model, platform tooling and processes across regions Essential 5+ years of experience in technical support, cloud infrastructure or SRE/DevOps roles, ideally within high-scale, client-facing environments Deep experience with incident management, root cause analysis and production troubleshooting Strong Linux systems knowledge, including filesystems, networking and system internals Programming skills in Golang and Python and experience with infrastructure tools or observability stacks (e.g. Grafana, Prometheus, EFK) Confidence in working with cloud-native platforms and tools (e.g. Kubernetes, Terraform, AWS/GCP, Docker) Excellent communication skills under pressure, being able to influence across client, product and engineering boundaries Demonstrated ability to lead without authority; especially in escalations, cross-functional collaborations and mentoring A drive to raise the standard for support and build systems that scale sustainably Desirable Experience deploying or supporting self-managed software in client cloud environments Exposure to core banking, payments or financial services infrastructure Familiarity with gRPC, protobuf or service-to-service communication patterns Open-source contributions or evidence of self-driven learning in cloud, infra or backend tooling Experience contributing to support process design or automation initiatives Benefits Highly competitive salary and commission Pension plan (match up to 5%) Life insurance (3x annual salary) Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid) Shared parental leave (matched to our maternity leave for the same point in time) 25 days holiday and bank holidays Flexible working hours Cycle-to-work scheme Electric car scheme Season ticket loan Access to outstanding learning materials and courses Sports and hobby clubs, subsidised by Thought Machine All the latest tech you need Start the day properly with fresh fruit and cereals Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks A talented and experienced team as your colleagues An environment where we encourage learning and progress Two charity days a year Weekly food pop-up We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.

As an experienced Analytics Engineer at Wrisk, you will be the bridge between raw data and impactful business insights. You will work closely with our Data Engineering team to manage the data pipeline while taking full ownership of the transformation layer, building robust, scalable data models and metrics that serve as the "single source of truth" for the entire organisation and our business partners. You will own our Business Intelligence and Analytics Stack, and lead the development of insightful reports and dashboards. This includes taking ownership of our external Analytics Products - a key USP of Wrisk. We are looking for a proactive professional who thrives when given a problem statement and the autonomy to deliver a finished solution, from initial data modelling through to the final reporting suite. What you'll do Data Modelling: Design, develop, and maintain well documented, tested, and flexible data models within our data warehouse. Stack Architecture: Develop and optimise our modern BI and analytics stack, ensuring data is clean, reliable, and performant. Metric Definitions: Maintain the logic for our business metrics across our semantic layer, ensuring they are defined consistently across all tools and departments. Pipeline Collaboration: Work with Data Engineering to identify and integrate key data sources, maintain accuracy and stability, and align the upstream data structures to support downstream analytics and reporting. Software Excellence: Utilise version control (Git), code reviews, and data quality testing to ensure the integrity of our analytics layer. Reporting: Design and build high quality, intuitive dashboards and visualisations that communicate complex data simply and effectively. Analytics Products: Take ownership of the maintenance and enhancement of Wrisk's external facing analytics products, ensuring they remain a high performing, reliable product offering for our partners. Self Service Enablement: Build intuitive data marts that empower Analysts and business users to perform their own analysis with confidence. Requirements Gathering: Partner directly with stakeholders in Commercial, Operations, Product, and across external partners to deeply understand their reporting needs and translate them into technical specifications. Autonomous Problem Solving: Independently identify and implement areas of opportunity in our stack and processes, and troubleshoot data and reporting issues. We expect you to be a self starter who manages your own roadmap and deliverables. Qualifications Experience: 4+ years in Analytics Engineering, Data Engineering, or a technical BI role with architecture experience. SQL Expertise: Advanced proficiency in SQL (CTEs, window functions, complex joins, and query optimisation). Visualisation Expertise: Significant experience building sophisticated, user friendly dashboards in modern BI tools (e.g., Looker, QuickSight, Tableau, or Power BI) with a strong eye for data storytelling. Modern Data Stack: Hands on experience with tools like dbt, Snowflake/BigQuery/Redshift, and Fivetran/Airbyte. Data Modelling: Strong understanding of data modelling best practice for modern analytics. Goal Oriented: A proven track record of working independently and delivering complex analytics projects from start to finish with minimal supervision. Stakeholder Management: Proven ability to collaborate with non technical business partners and external clients to gather requirements and explain technical trade offs. Desirable/advantageous skills and experience Experience working in a fast paced scale up environment. Knowledge of Python for data manipulation or automation. Financial Services or Insurance industry experience.

Job Title: AI Engineer Company Description: Electric Twin - Atomico-backed AI startup creating synthetic audiences Location: London, UK Job Description: You will join the Science team to bridge the gap between AI research and production engineering. By designing cognitive architectures and memory systems for LLM-driven agents, you will help build a platform that predicts human behavior with 95% accuracy, enabling global brands to conduct deep market research in seconds rather than weeks. Why this role is remarkable: Work at the frontier of behavioral simulation with a platform that delivers insights 10,000x faster than traditional research, validated by research from the London School of Economics. Join a high-caliber team founded by the former Chief Adviser on Digital to the UK Prime Minister and backed by $14M from top-tier investors including Atomico, LocalGlobe, and Marc Andreessen. Direct impact on a product used by giants like News UK and Lebara, moving beyond static data to create dynamic, reasoning digital populations. What you will do: Design and implement cognitive systems that provide AI agents with consistent personalities, reasoning capabilities, and advanced memory using RAG and chain-of-thought prompting. Conduct systematic experiments to validate synthetic agent behavior against real-world data, iterating on model architectures based on empirical performance. Build the scalable backend infrastructure and sophisticated prompting strategies required to deploy multi-agent simulations in enterprise production environments. The ideal candidate: Possesses over 7 years of technical experience with at least 1 year of hands on expertise building complex applications with Large Language Models and agentic workflows. Demonstrates strong proficiency in Python and backend frameworks like FastAPI or Django, with a solid understanding of distributed systems and scalable architectures. Holds a degree in a quantitative field (CS, Math, Physics, or AI) and thrives in fast paced environments where research driven development meets pragmatic engineering. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

A leading cybersecurity firm in Greater London seeks a Staff Incubation Engineer to spearhead full-stack product development and tackle complex engineering challenges. The ideal candidate will possess deep AI and ML system experience, strong programming skills in Python, Golang, and NodeJS, and thrive in an agile environment. They will design scalable systems, foster technical excellence, and lead collaborative efforts across teams for innovative product delivery. This role comes with generous benefits and a flexible working environment.

Graduate Data Platform Engineer Remuneration: £25,000-30,000 4-day Work Week: We're a Mon Thu business Work Perks: Private healthcare, wellness program, rewards and discounts + more Location: Based in our Manchester city office in Ancoats, fully onsite Contract Type: Full time Start Date: Immediate About Techtelligence Techtelligence is Today Digital's next-generation market intelligence platform, designed to turn first party editorial data, behavioural signals, intent data, and expert insight into practical intelligence for technology buyers and vendors. The platform underpins UC Today, CX Today, and Today Digital's emerging data and research products - including insight reports, buyer intelligence, dashboards, surveys, and commercial intelligence offerings. Role Overview You will help build the data backbone of Techtelligence. This role sits at the intersection of data engineering and analytics engineering - transforming raw datasets into structured, production-ready intelligence assets. You will work directly on BigQuery architecture, curated data models, and transformation logic. Data Modelling Build curated transformation tables Standardise schemas Create reusable SQL views Implement snapshot logic for trend tracking Pipeline Support Improve ingestion processes Help structure API imports Support version controlled SQL workflows Platform Development Help implement dbt or structured transformation frameworks Build logic for topic scoring and intent modelling Contribute to Signals Index development What We're Looking For Recent graduate (Computer Science / Data Engineering / Software Engineering) Strong SQL fundamentals Understanding of data warehousing concepts Experience with Git Comfortable learning GCP / BigQuery Has built a project beyond coursework (portfolio matters) Bonus dbt exposure Python basics Experience with APIs

As a Backend Engineer on Spotify's Core Infrastructure team, you'll build and maintain the platform foundations that power Spotify for 600M+ users globally. You'll work on reliability, scalability, and developer tooling-ensuring engineering teams can ship features rapidly and safely. Skills Required Java Python Go GCP Distributed Systems Microservices

Privacy Information We and our partners are using tracking technologies to process personal data in order to improve your experience. You may always exercise your consumer right to opt-out. For detailed information about personal information we collect and third parties having access to it, please select 'More Information' or refer to our privacy policy.Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities - from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era - boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It's how we stay driven, supportive, and always one step ahead as AI reshapes our world.Snyk's Incubation Accelerator is seeking a Staff Incubation Engineer to join our innovative team, building transformative products from the ground up. This is a unique opportunity to operate with the agility of a startup, while leveraging Snyk's extensive infrastructure, customer reach, and industry insights.As a Staff Incubation Engineer, you will be at the forefront of technical innovation, tackling complex engineering challenges to develop a new product. This role demands full-stack development expertise, a strong grasp of system architecture for AI applications, and end-to-end ownership of the product lifecycle-from rapid prototyping to large-scale deployment. You will operate in a lean, agile environment, iterating rapidly on solutions to achieve product-market fit. What You'll Do: Full-Stack Product Development: Design, develop, and implement scalable, high-performance software solutions from scratch, covering both frontend and backend components. System Architecture & Design: Architect flexible, scalable, and secure systems, ensuring robust, maintainable, and high-quality codebases. Rapid Prototyping & Iteration: Build rapid prototypes to validate ideas, iterate on feedback, and pivot quickly to achieve the best product-market fit. AI Agent Development: Design, develop, and deploy intelligent AI agents and autonomous systems, focusing on their integration into new product offerings. Performance Optimization: Analyze and optimize system performance, ensuring high availability, low latency, and efficient resource utilization. Cloud-Native Deployment: Design and deploy cloud-native applications leveraging modern infrastructure, including containerization and microservices architecture. Agile Development & CI/CD: Operate within a lean, agile environment, utilizing continuous integration and delivery pipelines to accelerate development cycles. Cross-Functional Collaboration: Collaborate with product managers, designers, and other engineering teams to ensure cohesive product development and alignment with business goals. Technical Leadership & Mentorship: Foster a culture of high ownership, creativity, and technical excellence. What You Bring: Deep experience in AI/ML systems, experience deploying intelligent agents using agentic or multi-agent architectures, with foresight for future needs and strategic alignment. Strong proficiency in modern programming languages (e.g., Python, Golang, NodeJS) and frameworks, applying them to innovative products. Experience with agile and CI/CD, with autonomy to streamline processes for efficient delivery in a fast-paced environment. It'd Be Awesome If You Also Are genuinely excited by the prospect of working on early-stage products, engaging directly with customers to rapidly identify, prioritize, and iteratively solve problems to build truly beloved solutions. Thrive in the face of complex, ambiguous technical challenges, consistently finding innovative solutions where others might see roadblocks, and embracing the iterative nature of startup development. We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers Health benefits, employee assistance plans, and annual wellness allowance Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances

CSQ327R39 We're hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as a Senior Solutions Consultant or a Resident Solutions Architect. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership. As a Data Platform Solutions Architect (Internal Title - Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: Drive high-impact customer projects: Design and build reference architectures, implement production use cases, and create "how-to" guides tailored to the unique needs of fast-moving Emerging Enterprise & Digital Native customers in EMEA. Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope, schedules, and deliverables for professional services engagements. Enable transformational initiatives: Guide strategic customers through their end to end big data journeys-migrating from legacy platforms and deploying industry leading data and AI applications on the Databricks platform. Consult on architecture & design: Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt Databricks. Offer advanced support: Serve as an escalation point for operational issues, collaborating with Databricks Support and Engineering to resolve challenges quickly. Align technical delivery: Partner with cross functional Databricks teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met. Amplify product feedback: Provide implementation insights to Databricks Product and Support teams, guiding rapid improvements in features and troubleshooting for customers. What we look for: Extensive experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end to end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 10% of the time Databricks Certification but not essential (preferred) About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

An innovative AI startup in London seeks a talented AI Engineer to join the Science team. You will design cognitive architectures and memory systems for LLM-driven agents, creating a platform that predicts human behavior with remarkable accuracy. Ideal candidates should have over 7 years of experience in building complex applications, strong proficiency in Python, and a degree in a quantitative field. This role offers a unique opportunity to work at the frontier of behavioral simulation backed by top-tier investors.

A leading tech company in Greater London is looking for a Backend Engineer to build and maintain the platform foundations for their services used by over 600M users globally. You will be responsible for ensuring reliability, scalability, and providing developer tooling so that engineering teams can deliver features rapidly and safely. Ideal candidates will have strong skills in Java and Python, along with experience in distributed systems and microservices.

About Graphcore At Graphcore, we're building the future of AI compute.We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long term investment, we are delivering key technology into the fast growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore's technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field. The Team The Applied AI team's role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore's technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. If you're excited about advancing the next generation of AI models on cutting edge hardware, we'd love to hear from you! Responsibilities and Duties Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software, and Product teams to define, build, and test Graphcore's next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills Expertise in deep learning from model training to optimisation and evaluation. Experience in distributed training or inference of ML models across 64+ accelerators. Capable of designing, executing and reporting from ML experiments. Developed deep understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a dynamic environment Enjoy cross functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable Experience in one or more of: MLOps for Kubernetes based clusters Building production systems with large language models Efficient computing based on low precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies. Have contributed to open source projects or published research papers in relevant fields. Knowledge of cloud computing platforms. Keen to present, publish and deliver talks in the AI community. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

An innovative AI startup in London seeks an AI Engineer to drive the development of groundbreaking algorithms that enhance patent generation. Joining a stellar team backed by major investors, you will lead the creation of evaluation pipelines and collaborate directly with the CRO to ensure efficient deployment of cutting-edge technology. The ideal candidate possesses expert-level Python skills and deep knowledge of LLMs. This role offers a competitive salary and equity opportunities.

A leading technology company in Greater London is seeking a Senior Backend Engineer to work on advanced AI systems. The role involves building scalable APIs and improving inference infrastructure while collaborating with AI researchers. The ideal candidate will have strong skills in Python and Go, along with knowledge of distributed systems and ML infrastructure. This full-time position is ideal for innovative individuals looking to impact millions of users.

As a Senior Backend Engineer at OpenAI London, you'll work on the systems that power some of the world's most advanced AI products. You'll build scalable APIs, improve inference infrastructure, and collaborate with AI researchers to bring cutting edge models to millions of users. Skills Required Python Go Distributed Systems ML Infrastructure APIs Tags Full time, Other, United Kingdom, Visa Sponsored

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. AI Engineer Salary: $100K - $250K + Equity Company Description: Solve Intelligence - Series B AI startup backed by Microsoft and YC Job Description: Join the leanest, most talent-dense engineering team in London to revolutionize intellectual property. As an AI Engineer, you will develop proprietary algorithms that push the boundaries of LLM-generated patents. You'll lead the creation of state-of-the-art evaluation pipelines and ship production-ready solutions at lightning speed for a platform seeing 30% monthly growth. Location: London, UK Why this role is remarkable Work with a world-class founding team of PhDs from Cambridge and UCL with successful exits to and BioNTech. Join a rocket ship with $55M in backing from Tier-1 investors like YC, Microsoft, and the founders of Stripe, Perplexity, and Hugging Face. Experience true ownership with significant equity in a company already generating 8 figures of ARR and serving 400+ global IP teams. What you will do Research and implement proprietary LLM algorithms and state-of-the-art prompting methods to maximize patent generation quality. Build and lead the development of a robust, automated evaluation pipeline to benchmark performance on massive datasets. Collaborate directly with the CRO to transition cutting edge R&D into production ready features used by global law firms. The ideal candidate Possesses expert level Python skills and extensive industry experience shipping machine learning algorithms into production environments. Demonstrates deep technical knowledge of LLMs, prompt engineering, and modern evaluation frameworks like OpenAI evals. Brings a full stack mindset with familiarity in PostgreSQL and React to maintain a high shipping velocity in a fast paced environment. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will introduce you. Step 6. If not, Jack will find you excellent alternatives. All for free.