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Entity: Technology Job Family Group: IT&S Group Job Description: bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! Role Summary We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D contexts. Key Responsibilities • Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability)., • Collaborate with cross-functional teams to translate business problems into ML solutions., • Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing., • Optimise model performance and ensure scalability and reliability in production environments., • Contribute to the design of ML system architecture and data infrastructure., • Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation., • Mentor junior engineers and data scientists, and contribute to technical design reviews., • Stay current with the latest ML research and tooling, and evaluate their applicability to our use cases. Required Qualifications • Experience in machine learning engineering or applied data science roles., • Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn., • Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs., • Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes)., • Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow)., • Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark)., • Strong communication skills and ability to work collaboratively in a team environment., • MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Desirable Skills • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to vector databases and semantic search., • Knowledge of software engineering best practices and system design., • Experience applying machine learning and AI to scientific or R&D workflows, including experimentation, simulation, or lab automation., • Familiarity with uncertainty quantification, model interpretability, and experimental design in ML applications., • Experience with Agentic AI systems, including autonomous agents, tool use, and orchestration frameworks., • Proven track record of innovation through publications, invention disclosures, or patents in machine learning or AI., • Prior experience in energy, logistics, or industrial domains is a plus but not required. We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: We’re looking for a Principal AI Engineer who combines deep technical expertise with the ability to set direction, influence stakeholders, and shape the future of AI engineering across the enterprise. Our AI Acceleration organisation is building high-impact AI-powered applications that deliver measurable business value at speed. As a Principal AI Engineer, you will serve as both a hands-on technical leader and a strategic partner driving architectural choices, aligning with business and technology stakeholders, and ensuring that our AI systems are secure, reliable, and scalable. This is a role for leaders who thrive at the intersection of disciplined engineering, AI innovation, and organizational influence. You will work across teams and business units to align technical strategies, define reusable platforms, and raise the bar for how AI is built and operated at scale. You will shape the long-term roadmap for AI engineering while ensuring delivery on today’s most pressing priorities. * Set Technical Direction: Define the long-term technical strategy for AI engineering across the enterprise, ensuring alignment with organizational priorities and technology roadmaps. * Architect for Scale: Drive architectural decisions for platforms and applications that leverage LLMs, retrieval-augmented generation, AI agents, and unstructured data processing at enterprise scale. * Influence & Align: Partner with senior engineering leaders, product managers, business stakeholders, and governance teams to align AI initiatives with business value, compliance, and responsible AI practices. * Cross-Org Leadership: Lead multi-team initiatives, ensuring delivery of AI platforms and applications that are reusable, discoverable, and secure. * Raise the Bar: Mentor senior and staff engineers, fostering technical excellence, operational rigour, and a culture of innovation and reuse. * Future-Proof AI: Evaluate emerging AI frameworks, protocols, and ecosystems, identifying opportunities to standardise, reduce duplication, and avoid vendor lock-in. * Operational Excellence: Establish engineering standards, metrics, and best practices for deploying and operating AI systems reliably in production. * Thought Leadership: Represent AI engineering in internal and external forums, shaping industry perspective and ensuring bp remains a leader in practical AI adoption. * 12+ years of professional software engineering experience, with a track record of designing and delivering complex, production-grade systems. * Demonstrated experience leading cross-functional engineering initiatives at scale, with ability to influence without direct authority. * Expertise in modern software architecture, distributed systems, and cloud infrastructure (AWS, Azure, or GCP). * Deep hands-on experience integrating AI/ML systems into production environments, including LLMs, RAG, vector search, and AI agents. * Strong ability to communicate technical strategy to executives, engineers, and business partners alike. * Proven ability to set and enforce engineering standards for quality, security, and operational reliability. * Experience mentoring senior engineers and shaping the growth of engineering organisations. * Experience defining enterprise-level AI architectures, platforms, or internal developer tools. * Familiarity with AI orchestration frameworks (LlamaIndex, LangChain, Crew AI, AutoGen, etc.) and best practices for agentic systems. * Track record of contributions to open-source AI/ML communities or internal platform accelerators. * Background working in environments requiring compliance, security, and governance for AI applications. * Exposure to both traditional ML and modern GenAI systems, with ability to evaluate trade-offs and guide adoption. At bp, we provide an excellent working environment and employee benefits! We offer an open and inclusive culture and a great work-life balance. Tremendous learning and development opportunities are available to craft a career path, life and health insurance, medical care package and many others! We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: AI Agents, Cloud Infrastructure, Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving, Software Engineering Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

As an AI Software Engineer Intern you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions.

The Mission At FLOX, we believe smarter farms lead to thriving chickens and healthier lives. Our mission is simple: healthier chickens benefit everyone. That’s why we built FLOX360, a system that uses Computer Vision, smart sensors, and real-time insights to transform poultry farming. By helping farmers improve welfare and efficiency, FLOX360 creates a win-win for birds, farmers, the environment, and people everywhere. Today, we’re watching 60 million chickens a year. We believe we are setting the standard for animal welfare and smart farming - and we’re just getting started. The People We’re a diverse team of engineers and entrepreneurs, representing over 13 nationalities and all walks of life - even a few vegetarians! We are brought together by a shared passion for meaningful impact. Our culture is grounded in values we live every day: Empathetic Artisan - We approach our work with care, artistry, and genuine empathy for each other and our users. We lead with positivity and passion. Tenacious Innovator - Innovation drives us. We trust ourselves, keep learning, and uncover bold solutions that redefine what’s possible in poultry farming. Hand in Glove - One mission, one team. We grow together with patience, trust, and transparency, amplifying each other’s strengths to revolutionise farming. Worth Building - Worth celebrating. We dedicate ourselves to work that matters, taking pride in creating disruptive solutions our users can’t live without. This is an exciting moment of growth for FLOX - and we’re looking for ambitious, humble, and purpose-driven people to join us in building a future of smarter farms, thriving chickens, and healthier lives. The role We are currently seeking a Senior Platform Network Engineer to work directly under our CTO in our office in London. This role sits in the Engineering Team, and you will report directly to the Senior Engineering Manager. We’re a growing start-up with plenty of room for progression and making the role your own. Occasionally, and in line with your strengths and interests, you may be asked to work outside your job description. What you will be doing: Network Infrastructure: • Own the entire networking stack: edge hardware, VPN configurations, cloud networking, on-premises and edge deployments, while ensuring comprehensive security for FLOX, its customers and stakeholders, • Lead network hardware specification, qualification, configuration and deployment across diverse agricultural environments, • Operate monitoring systems to ensure network uptime and performance, responding to issues through established incident management processes, • Conduct remote and on-farm network debugging and issue resolution, collaborating on root cause analysis and implementing systematic improvements, • Develop comprehensive scalability plans for our global network of systems and devices, aligned with ambitious international growth objectives, • Leverage AI-driven network optimisation and automation to ensure operations scale efficiently with expansion plans, • Leverage AI-driven network optimisation and automation to ensure operations scale efficiently with expansion plans, • Configure and maintain load balancers, network switches, routers, and wireless infrastructure for farm deployments Platform Engineering: • Design and implement infrastructure-as-code solutions for automated network and platform deployments, • Define and maintain scalable data pipelines to process multimodal inputs including video, sensor data and structured metadata from network edge devices, • Build internal tools, diagnostics and platform APIs that empower product delivery teams to operate reliably and self-serve common workflows, • Develop automated systems to detect network and platform anomalies, including connectivity issues and ingestion breakdowns, with escalation workflows, • Work cross-functionally with Computer Vision, DevOps and Product colleagues to align platform capabilities with product goals and ensure reliable integration points, • Optimise platform architecture for high availability and fault tolerance through resilient patterns and failover mechanisms that complement network redundancy, • Lead the development of infrastructure for deploying and monitoring edge applications and services across the distributed network, • Collaborate with tech leads on incident response, architectural reviews and decision-making to drive continuous improvements in platform reliability We would love to meet you if you have all or some of these requirements: • Understanding of networking protocols: TCP/IP, BGP, OSPF, VLAN, STP, LACP, • Experience with switches/routers from Cisco, MikroTik, Netgear, Ubiquiti (or equivalent), • Experience with wireless deployments (Wi-Fi 6/6E) and resilient WANs (Starlink, cellular backup), • Experience with PoE systems and fibre: PoE+/PoE++, extenders, CAT5/5e/6 cabling, single/multi-mode fibre, • Experience with IoT gateways and messaging: BLE gateways, MQTT, • Understanding of storage/compute for edge AI: local storage for model training, ZFS, RAIDs, NFS, • Experience with security controls: firewalls, VPNs, NAT gateways; understanding of zero-trust and ACLs; experience with Keycloak and NGINX reverse proxy, • Experience with Python and FastAPI; understanding of data/messaging systems: Kafka, MySQL, MongoDB, PostgreSQL, • Experience with containers and orchestration: Docker; Kubernetes networking and service mesh; RKE2, • Experience with streaming protocols: RTMP, WebRTC, HLS, MPEG-DASH, • Experience with monitoring/telemetry: Prometheus, Grafana, Alertmanager, Thanos; ELK; Jaeger; custom exporters, • Experience with CI/CD and automation: Jenkins, GitLab, Sonatype Nexus, Terraform, Ansible, Argo CD, • Experience with cloud platforms: AWS (primary), with GCP/Azure exposure, • Experience with MLOps/data tooling: DVC, MLFlow, Airflow, Dagster, CVAT, Weights & Biases; data lakes/warehouses What we can offer you: • Up to 65k p.a. depending on experience and location, • Flexible working, • Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like, • Exposure to state-of-the-art technologies, • A young and international work environment, • Travel within the UK & potentially into the US and LATAM, • A chance to work with well-respected experts, including AI and robotics We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

We're looking for an Engineer with over 8 years of overall software development experience, you should have a solid understanding of database design and a passion for both Julia's ease of use and elegance and Rust's speed and safety.

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical and career development. 🤝 Collaborative Environment – Pair with engineers, data scientists, and domain experts to solve real-world challenges. 🏢 Hybrid Flexibility – Balance focused remote work with in-person collaboration at our office. What We’re Looking For: • 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!), • Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers, • Understanding of basic ML concepts and data preprocessing techniques, • Interest in NLP, unstructured data, and information extraction, • Eagerness to learn, take feedback, and contribute to a collaborative team Nice to Have: • Experience with SQL/NoSQL databases, • Familiarity with MLOps tools (Docker, Git, CI/CD), • Exposure to vector databases or semantic search, • Knowledge of financial datasets or document processing workflows If you’re excited to grow your skills in machine learning and work on technology that helps people understand complex data — we’d love to hear from you. Apply now and start your journey building the future of data-driven insight.

🚀 DATABRICKS TEAM BUILD - Multiple Senior Roles | Leading Consultancy | London | £70k-£110k + Bonus Omnis Partners is recruiting for an exclusive Databricks team build with a next-generation data and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: • Senior Data Engineering Consultant - Databricks/Snowflake focus, • Senior ML Engineer - Databricks specialisation (MLOps), • Senior Platform Engineer - Databricks deployment expert, • Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be part of a specialist Databricks team delivering enterprise-scale data platforms and ML solutions. This is a strategic team build working closely with Databricks professional services on marquee client engagements. 🛠️ Databricks-Focused Tech Stack: • Databricks (Primary platform - all roles), • Databricks ML/MLflow, • AWS/Azure/GCP (Databricks deployment), • Python & SQL (Databricks native), • Delta Lake & Unity Catalog 💰 Package: • Salary: £70k-£110k (negotiable), • Performance bonus, • Professional certifications funded, • 20 dedicated development days, • Flexible hybrid working 📍 Location: London Ready to join this exclusive Databricks team build? Contact me directly for a confidential discussion about these specialist Databricks opportunities.

Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solution, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges, and provide customers with a competitive edge. As a Senior Data Engineer, you’ll feel at home if you are hands on, grounded, opinionated and passionate about delivering comprehensive data solutions that align with modern data architecture approaches. Your work will range from building a full data platform to building data pipelines or helping with data architecture and strategy. This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: • Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems, • Build frameworks and supporting tooling for data ingestion from a complex variety of sources, • Consult with our clients on data strategy, modernising their data infrastructure, architecture and technology, • Model their data for increased visibility and performance, • You will be given ownership of your work, and are encouraged to propose alternatives and make a case for doing things differently; our clients trust us and we manage ourselves., • You will work in short sprints to deliver working software, • You will be working with other data engineers in Sahaj and work on building Data Engineering capability across the organisation You can read more about what we do and how we think here: Skills you’ll need: • Demonstrated experience as a Senior Data Engineer in complex enterprise environments, • Deep understanding of technology fundamentals and experience with languages like Python, or functional programming languages like Scala, • Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake, • Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical, • A nuanced understanding of code quality, maintainability and practices like Test Driven Development, • Ability to deliver an application end to end; having an opinion on how your code should be built, packaged and deployed using CI/CD, • Understanding of Cloud platforms, DevOps, GitOps, Containers What will you experience as a culture at Sahaj? At Sahaj, people's collective stands for a shared purpose where everyone owns the dreams, ideas, ideologies, successes, and failures of the organisation - a synergy that is rooted in the ethos of honesty, respect, trust, and equitability. At Sahaj you will experience:- • Creativity, • Ownership, • Curiosity, • Craftsmanship, • A culture of trust, respect and transparency, • Opportunity to collaborate with some of the finest minds in the industry, • Work across multiple domains What are the benefits of being at Sahaj? • Unlimited annual leave, • Life Insurance & Private Health insurance paid by Sahaj, • Stock options, • No hierarchy, • Open Salaries

Data Science & GenAI Tech Lead — AI Agents, Structured Insights & Detection Location: London, hybrid About Anecdote Anecdote we’re on a mission to make customer experience delightful for everyone involved . Think a real‑time copilot that listens to live calls and chats, reads our customers’ knowledge bases, and drafts high‑quality replies for human agents - while also turning messy, multi‑channel feedback into trustworthy structured insights, anomaly detection, and novelty discovery. As the Tech Lead, you’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform. What you’ll actually do 50% Build — design & ship • Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls., • Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting., • Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift., • Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links., • Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed., • Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks., • Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning., • Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams)., • Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics.What makes you a great fit, • Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️, • AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar)., • 7–10 years building production ML/back‑end systems; 2+ years leading while coding., • Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams)., • Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines., • LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift)., • Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control., • Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points • DevOps wizardry; GPU/accelerator experience., • Multimodal pipelines (text + voice + screenshots)., • Prior experience in contact center/CX analytics or novelty/anomaly systems., • Founder or founding engineer experience

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical and career development. 🤝 Collaborative Environment – Pair with engineers, data scientists, and domain experts to solve real-world challenges. 🏢 Hybrid Flexibility – Balance focused remote work with in-person collaboration at our office. What We’re Looking For: • 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!), • Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers, • Understanding of basic ML concepts and data preprocessing techniques, • Interest in NLP, unstructured data, and information extraction, • Eagerness to learn, take feedback, and contribute to a collaborative team Nice to Have: • Experience with SQL/NoSQL databases, • Familiarity with MLOps tools (Docker, Git, CI/CD), • Exposure to vector databases or semantic search, • Knowledge of financial datasets or document processing workflows If you’re excited to grow your skills in machine learning and work on technology that helps people understand complex data — we’d love to hear from you. Apply now and start your journey building the future of data-driven insight.

About the job LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ___. Designation : Principal Architect Joining Location : Bristol, London Mode of Employment : Permanent / Hybrid Job Summary The Genesys SME is a key technical leader responsible for the design architecture and optimization of advanced Genesys Contact Center solutions With a deep understanding of the Genesys suite and extensive experience in contact center transformation the Senior Genesys Engineer will drive strategic initiatives ensuring the seamless integration and performance of the platform to deliver superior customer experiences Key Responsibilities • Lead the design and architectural strategy for complex Genesys CloudGenesys Engage environments, • Develop scalable and resilient solutions to support highvolume contact centers, • Ensure the architecture meets current business needs and is flexible for future growth, • Oversee the development of sophisticated call routing strategies IVR solutions and customer engagement workflows, • Design and implement AIpowered solutions including chatbots voicebots and predictive routing, • Lead the customization of agent desktops dashboards and reporting tools to meet business objectives, • Lead the integration of Genesys solutions with CRM systems workforce management tools and other enterprise applications, • Work closely with DevOps and IT teams to implement CICD pipelines for Genesys environments, • Manage APIs and web services to ensure seamless data flow across systems, • Conduct indepth performance analysis and implement optimizations for call quality system speed and user experience, • Use data analytics and reporting tools to identify trends and opportunities for continuous improvement, • Ensure the platform is optimized for peak performance during hightraffic periods, • Act as a subject matter expert SME for all Genesysrelated initiatives within the organization, • Ensure that the Genesys platform complies with industry standards data protection regulations and security protocols, • Conduct regular security audits and implement measures to protect against vulnerabilities, • Serve as the escalation point for complex technical issues related to the Genesys platform, • Lead root cause analysis and incident management for critical issues, • Develop and maintain disaster recovery plans and ensure system redundancy, • Create comprehensive documentation for all system configurations processes and troubleshooting guides, • Continuously review and refine operational processes to improve efficiency and reliability Qualifications • Education Bachelors or Masters degree in Computer Science Information Technology or a related field or equivalent experience, • Experience 10 years of handson experience with Genesys solutions including Genesys Cloud Genesys Engage and related components Technical Skills • Expertise in Genesys platform architecture configuration and deployment, • Strong programming skills in languages like Java Python or C, • Advanced knowledge of SIP VoIP telephony and network technologies, • Experience with cloud infrastructure AWS Azure etc and virtualization Soft Skills Excellent communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications • Genesys Certified Professional GCP or Genesys Certified Expert GCE, • Experience with AI machine learning Copilot and customer experience analytics, • Familiarity with AgileScrum methodologies, • Experience in global contact center implementations and largescale deployments

Mechanical (HVAC) Design Engineer – Where Decarbonisation meets machine learning. Interested in using machine learning and AI to accelerate decarbonisation within the built environment? Want to work for a firm that rewards you when you do well, and isn’t afraid to try new things? As a recognised leader in decarbonisation projects for blue-chip clients, this Mechanical Contractor continues to set new standards. With around 140 employees across the UK, they provide a true turn-key solution. Everything is delivered in-house, including design, installation, project management, commissioning, and maintenance, ensuring they have full control of quality and certainty of cost in every project. The result? A team that consistently delivers projects on scope, budget, and time, and rewards its employees with three separate bonus payments every year. You'll join a motivated, supportive, and forward-thinking team that's setting new standards in energy efficiency and sustainable design. Due to planned growth, they are now looking for a client-facing Mechanical (HVAC) Design Engineer for their London office. Someone with at least three years of experience in HVAC design and a keen interest in decarbonisation, automation, and AI. Someone with experience in energy efficiency within existing buildings, and a good understanding of controls, heat pumps, and heat recovery systems. You’ll design innovative heating and cooling solutions for major tech, media, leisure, and industrial clients across London and the Southeast. Benefits • Tax-free annual bonus (£3,600), • Ongoing training and development, • 25 days leave, • Hybrid working, two days a week from home, • Option of working from abroad for up to one week at a time., • Uncapped profit share, • Individual bonus (in addition to the profit share described above), • Direct access to the company founder, directors, and other key stakeholders., • Matched pension to 4%, • Payment of 1 x Professional Membership. This is a rare opportunity to combine your HVAC design experience with a passion for AI and machine learning, to help accelerate decarbonization across the built environment. Perfect for someone who thrives on delivering practical solutions and wants to help shape the future of building services through innovation and impact. For more information, please call/email: 07595 071 303/ (3659)

Lead Product Engineer £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities • Lead the development of innovative digital products from concept through to production, • Design and build scalable, containerised software solutions that incorporate data science components, • Make architectural decisions around tooling, frameworks, and development approaches, • Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred), • Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders, • Mentor and support junior engineers, helping to grow technical capability within the team, • Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery, • Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience • 5–7 years of professional experience across software engineering, DevOps, or applied data science, • Strong programming skills in Python and familiarity with JavaScript/TypeScript, • Working knowledge of React (not a frontend role, but an understanding of the stack is important), • Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure), • Exposure to Jupyter notebooks, and understanding of how machine learning models are developed and deployed, • Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education • Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI), • Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering, • Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills • Strong communication and collaboration skills, • Experience mentoring junior team members, • Willingness to step into a leadership role and grow into the function, • Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

Role: Azure AI DevOps Engineer.Benefits: Healthcare and great holidays.As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector.Using Azur

Full Stack AI Engineer Logistics: • Remote, • E-commerce, • £450 a day, • Fully Remote Re-architect systems to support agent-based workflows * Build orchestration logic, services, and LLM integrations You have: * Strong Python skills and backend system design experience * Experience with agentic systems, LLM tools (e.g. OpenAI, LangChain), and vector DBs * Bonus: e-commerce, marketing tech, or creative tooling exposure • Full stack Background, • Agentic AI Engineer

⭐️ New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid / Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on data scientist/engineer looking for your next step, we’d love to hear from you. 📩 Interested? Apply now!

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: • Own and lead the enterprise data strategy – across infrastructure, analytics, and AI/ML., • Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists., • Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation., • Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight., • Support responsible AI adoption – working alongside an AI Engineer to build ethical and scalable models., • Define governance frameworks – from access and privacy to data quality, retention, and compliance. What we’re looking for: • Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments., • Technical depth across data engineering, analytics, or data science., • Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI., • Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps., • Comfortable working across finance, risk, and commercial functions., • Experience operating in a regulated environment, ideally with exposure to dual regulation and resilience frameworks. Please note - this role cannot offer VISA sponsorship.

Senior Machine Learning Engineer London (Old Street / Moorgate) Up to £140,000 + bonus About the Role We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment. This role is all about taking cutting-edge ML research projects and moving them into production — building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment. Key Responsibilities • Collaborate with ML scientists to ingest and process large-scale, high-frequency market data., • Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment., • Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading., • Take ownership of end-to-end solutions, from research to execution. What We’re Looking For • 5+ years’ experience in high-level engineering roles., • Proven track record building ML research pipelines in complex technical environments., • Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure)., • Strong mathematical or statistical background., • Background in AI-driven industries., • Independent, self-driven engineers who can own delivery without hand-holding.

Senior Machine Learning/Research Engineer London (Old Street / Moorgate) Up to £140,000 + bonus About the Role We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment. This role is all about taking cutting-edge ML research projects and moving them into production — building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment. Key Responsibilities • Collaborate with ML scientists to ingest and process large-scale, high-frequency market data., • Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment., • Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading., • Take ownership of end-to-end solutions, from research to execution. What We’re Looking For • 5+ years’ experience in high-level engineering roles., • Proven track record building ML research pipelines in complex technical environments., • Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure)., • Strong mathematical or statistical background., • Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance., • Independent, self-driven engineers who can own delivery without hand-holding. Interview Process • Intro call with hiring manager and recruiter., • Take-home technical test., • Technical interview discussing your solution., • Onsite with their Amsterdam team.

We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products. HCLTech is a globally recognized leader in the Tech and IT industry, but we’ve never forgotten the startup mindset that got us here. We’ve always approached our work with an idea-first attitude because every one of our accomplishments —no matter how big or small —can be traced back to an idea’s single spark. It’s that spark —that inner drive —that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled. Position: - Network Consulting Engineer – VXLAN & AI Data Center Networking Location- London, UK Job Type- FHybrid Full time Employment - Permanent Role Overview: We are seeking a highly skilled Network Consulting Engineer (NCE) to design and implement next-generation VXLAN EVPN-based data center networks that support hypercomputing and AI infrastructure. This role is central to enabling the high-performance, low-latency environments required for multi-GPU clusters, distributed training pipelines, and scalable AI workloads. The ideal candidate will bring deep expertise in VXLAN, BGP, EVPN, RoCEv2, and fabric-based networking, along with a solid understanding of the networking demands of large-scale AI and HPC environments. Key Responsibilities: -Design, deploy, and manage VXLAN EVPN-based fabric networks supporting AI and high-performance computing workloads. -Build scalable spine-leaf architectures using Cisco Nexus 9000 or Arista switches, ensuring efficient Layer 2/Layer 3 segmentation and workload mobility. -Optimize network performance for RoCEv2, GPUDirect, and low-latency traffic flows, ensuring maximum throughput and minimal jitter for GPU-accelerated clusters. -Configure underlay and overlay protocols including BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues. -Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure. -Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines. -Drive network automation efforts using tools such as Python, Ansible, and Terraform, enabling Infrastructure-as-Code (IaC) for repeatable, scalable deployments. -Participate in performance tuning, benchmarking, and capacity planning for evolving AI workloads and future-proof infrastructure designs. Required Skills & Expertise: -Proven experience designing and operating VXLAN EVPN-based data center networks. -Strong knowledge of Cisco ACI, Nexus 9000, or Arista EOS platforms. -Expertise in data center routing and switching, including BGP, OSPF, IS-IS, multicast, and fabric path. -Deep understanding of AI-specific networking needs, including RoCEv2, DCB, PFC, and RDMA optimization. -Hands-on experience with automation and orchestration tools such as Python, Ansible, and Terraform. -Familiarity with GPU-accelerated workloads and distributed systems in AI/ML and HPC environments. Preferred Qualifications & Certifications: -CCNP or CCIE Data Center (highly preferred) -Cisco Certified Specialist – Enterprise Core or Data Center Core -Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus -Experience with hybrid and multi-cloud networking for AI clusters is desirable

VP Engineering, AI-Driven B2B SaaS (Series B) Join an AI-native B2B company that has just raised Series B funding and is hiring a VP Engineering to lead the next phase of growth. This is a true VPE role (not CTO), reporting to the CEO, and is responsible for scaling the engineering organisation from to 30+ over the next 12–18 months. The Mission • Tackling complex engineering challenges - The company builds advanced tools that help engineers address problems once considered too difficult or resource-intensive using conventional approaches. These solutions span areas such as performance optimisation, safety testing, and advanced materials., • Speeding up innovation cycles - The company’s technology is designed to shorten the journey from concept to launch. By equipping engineers with powerful AI-driven capabilities, it enables faster progress across all stages of product development., • Harnessing AI and data to drive decisions - The company applies intelligent, data-led models that learn, adapt, and predict. This makes it possible to anticipate issues, refine designs, and unlock new opportunities for innovation early in the process. The Role As VP Engineering you will own: • Tech Roadmap & Execution: Define, drive, and deliver the roadmap in alignment with product and company strategy., • Team Leadership & Growth: Attract, hire, onboard, and retain top engineering talent. Ideal Profile • 12–15 years total experience: Started out as a hands-on engineer; transitioned into leading teams, then managers., • Built it: Deep technical experience in at least two of the following:, • Software Engineering (Cloud/SaaS), • Data Architecture, • Applied AI (Application layer), • Scale exposure: Has led engineering orgs of 30+ and experienced scale-up growth on both technical and commercial sides., • Outcome-driven: Understands engineering as a lever for business value – makes tradeoffs based on customer impact, ROI, and velocity. What We’re Looking For Technical & Execution Leadership • Brings architecture-level clarity and technical rigor., • Drives repeatable, high-quality releases and platform reliability., • Holds teams accountable with data, KPIs, and clear decision frameworks., • Builds strong engineering management capability from the ground up., • Motivates and aligns teams through a compelling tech vision and execution cadence., • Creates a safe, high-trust environment where feedback and collaboration are the norm., • High-energy, high-ownership operator - can raise the heartbeat of the org., • Proven in making complex, high-stakes initiatives succeed., • Experience in a company that has scaled or exited., • Strong cross-functional instincts - knows how to partner with product, data, and commercial leads. If you’re a technically credible leader who’s scaled teams, delivered platforms, and wants to shape a high-impact AI product company from the ground up - this is for you.

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help shape the future of ___. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new ___ in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class ___ models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: • Developing, training, and validating state-of-the-art models for a variety of ___, including detection, segmentation, and classification., • Writing highly efficient, scalable, and production-ready code in ___ using the ___ framework., • Optimizing models for high-performance inference on diverse hardware using tools like ___, ___, and ___., • Managing and processing large-scale ___ and implementing advanced ___ strategies., • Designing and maintaining robust ___ with GitHub Actions for automated model training, testing, and benchmarking., • Collaborating with our research and engineering teams to implement cutting-edge techniques and contribute to our ___. 🛠️ Skills and Experience • 5+ years of professional experience in ___ or a similar role., • Deep expertise in ___ and deep learning frameworks, with a strong preference for ___., • Proven experience with ___ and a strong understanding of model architectures like transformers and CNNs., • Hands-on experience with ___ (i.e. quantization, pruning) and ___ frameworks such as ___, ___, and ___., • Proficiency with ___ programming and optimizing code for GPU acceleration., • Strong background in ___ practices, including CI/CD using ___ and containerization with ___., • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity environment., • Experience contributing to major ___ is a significant advantage. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.

Shape the design system behind a unicorn AI-native SaaS platform, scaling globally at speed. Why This Role? Stax is partnering with a unicorn AI-native SaaS scale-up that’s transforming how organisations use AI. Now they’re building a London engineering hub. Join as a UK founding engineer - hybrid working, high impact, and the chance to shape a category-defining platform from day one. The Opportunity This is a systems-level role at the intersection of design and engineering. You’ll be at the heart of a platform that’s changing how organisations use AI for customer support and product operations. In just four years, the team has: • Pushed browser limits with D3-powered visualisations and real-time dashboards, • Open-sourced client-side analytics on DuckDB, bringing OLAP to the edge, • Built AI-native UIs that feel fast, intelligent, and fun, • Scaled a themeable design system adopted across multiple products and platforms, • Introduced micro-frontends that power independent, high-velocity teams—and let customers embed their own modules directly in the product What You’ll Do • Evolve the design system: tokens, theming, accessibility, visual language, • Build React + Web Component libraries for core + embedded apps, • Advance tooling: Storybook, Chromatic, Figma plugins, • Set standards and governance across design + engineering, • Deliver performant layouts and visualisations at scale, • Mentor peers on accessibility and performance-first development Tech Ecosystem You’ll Shape Design Tokens · Figma API · Storybook · React · Web Components · TypeScript · Tailwind CSS · Vite · NextJS · Jest · Cypress · Playwright What You Bring • 8+ years in large-scale web apps, 2+ in design-system architecture, • Strong perspective on tokens, theming, multi-brand support, • Mastery of React + TypeScript, with library publishing experience, • Accessibility leadership (WCAG, ARIA, keyboard nav, colour contrast), • Fluency in CSS methodologies and testing frameworks, • Excellent communication skills to align design, product, and engineering, • Bonus points for OSS contributions, Figma plugins, or micro-frontend orchestration Culture & Impact • Speed with craftsmanship: fast feedback, continuous delivery, peer reviews, • Performance-first mindset: Core Web Vitals as product metrics, • Inclusive and global: teams across the US, Europe, and India, • Autonomy with accountability: design, guide, measure, iterate, • London hub: hybrid model, build the team and culture from the ground up Why join? Your design system will power products used by some of the world’s most ambitious teams. Join at a moment of hyper-growth and play a defining role in one of the most exciting SaaS platforms in the world. Stax welcomes applications from all backgrounds. Our client unfortunately can't offer visa sponsorship.

Senior Data Engineer – AI & Neuroscience Location: London (Hybrid, Kings Cross) or San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare opportunity to join at an early stage, with direct influence on the technical systems that will underpin scientific and clinical breakthroughs. The work is ambitious, interdisciplinary, and sits at the cutting edge of AI, biology, and data engineering. The Role We are seeking a Senior Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible for building robust, production-grade systems that handle multi-omic, neuroscience, and clinical datasets at scale. Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological data. Key Responsibilities • Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets, • Build a unified feature store to serve ML training and downstream biological analysis, • Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning, • Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data, • Scale distributed systems using Kubernetes, Terraform, and orchestration tools such as Airflow, Flyte, or Temporal, • Write clean, extensible, and well-tested code to ensure long-term maintainability and collaboration across teams About You We are looking for data and platform engineers who are motivated by applying their skills at the intersection of AI and neuroscience. You will be comfortable operating in an early-stage, fast-moving environment, with a strong focus on engineering excellence and scientific impact. Ideal Experience • 4+ years of experience building data infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently, • Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam, • Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores), • Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal), • Hands-on cloud engineering experience (AWS, GCP, or Azure), • Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code, • Familiarity with ML infrastructure and prior experience supporting ML teams in production environments, • Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential, • Excellent communication skills and ability to collaborate across interdisciplinary teams Why Join • Build infrastructure that directly supports breakthroughs in brain health and neurological disease, • Work with first-of-its-kind, multi-modal datasets and cutting-edge AI approaches, • Join a world-class interdisciplinary team at the ground floor, with significant scope for ownership and growth, • Competitive compensation package including equity

Front End Developer / Engineer (TypeScript React Native AI) London / WFH to £65k. You could be progressing your career as a Front End Developer at a well-established AI company acting as tech incubator within the World Economic Forum to tackle issues like climate change, AI, battery technology and

Data & Software Engineer - AI Start Up - Remote UK - Up to £90,000. They are utilising AI in various aspects of their business and are looking for an adaptable data/software engineer to join their team and continue to assist with their AI journey.

Role Description: Design Engineer Preferred Location: London, UK; Experience: 5+ Years Experience About the Role: We are looking for an experienced Design Engineer to join our Product & Design team. You will play a key role in shaping the user experience of assessment platforms by creating and maintaining robust Figma Design Systems and leveraging AI-powered tools to accelerate component development. Your work will directly impact the quality, consistency, and accessibility of our digital assessment solutions worldwide. Key Responsibilities: • Develop, document, and maintain scalable Figma Design Systems ensuring consistency and scalability across the platform, • Design and prototype user interface components, ensuring alignment with brand, accessibility standards, and digital best practices., • Harness AI tools to efficiently generate and iterate on design components, driving innovation in the design workflow., • Collaborate with product managers, UX/UI designers, and engineers to ensure seamless integration and implementation of design assets., • Participate in design reviews, providing feedback to uphold quality and consistency across products and platforms., • Stay updated on the latest trends in digital assessment design, design systems, and AI-assisted design methodologies., • Contribute to continuous improvement of design processes, documentation, and cross-functional collaboration. Requirements: • At least 5 years of experience as a Design Engineer, UX/UI Designer, or similar role, preferably in a SaaS or digital product environment., • Proficiency in Figma, including the creation and management of complex Design Systems., • Experience using AI tools to enhance and automate design component creation., • Strong understanding of UI/UX principles, accessibility (including WCAG), and responsive design for web and mobile platforms., • Excellent communication and collaboration skills, with experience working in cross-functional and global teams., • Attention to detail and a passion for creating user-centered, data-driven digital experiences., • Portfolio showcasing relevant projects, particularly in digital assessments, SaaS, or related technology products. Preferred Experience: • Experience in digital assessment, HR tech, or EdTech industries., • Familiarity with front-end technologies (HTML, CSS, JavaScript)., • Familiarity with React framework

Design Engineer – up to £110+ Stock – Agentic AI - London This is a chance to become the first design hire at an AI company that is going to impact every board room globally... We’re not necessarily looking for the most experienced Design Engineer, we're looking for the most obsessed. If you: ⚡ Ship code to GitHub every week ⚡ Design AI-native interactions that feel seamless and intuitive ⚡ Build things for fun …then this might be for you. ✨ Own product design from end-to-end, from design system to shipped code ✨ Shape how humans interact with AI in high-stakes business environments ✨ Work closely with world-class founders & engineers ✨ Join at a moment of explosive traction 💻 Role: Design Engineer 💰 Salary: £90,000–£110,000 + meaningful equity 🎯 About you: You’re a designer who codes (React, TS, Tailwind), obsessed with detail, and hungry to become one of the best in the field. 📍 Location: London If you’ve got the portfolio and the obsession, get in touch. 📩

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Job Summary: We are seeking a highly skilled and experienced AWS Lead Data Engineer, who will build, and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of scalable, secure, and high-performance data pipelines using PySpark and AWS Glue., • Architect and manage data lakes using AWS Lake Formation, ensuring proper access control and data governance., • Develop and optimize data models (dimensional and normalized) to support analytics and reporting., • Collaborate with analysts and business stakeholders to understand data requirements and deliver robust solutions., • Implement and maintain CI/CD pipelines for data workflows using tools like AWS CodePipeline, Git, GitHub Actions., • Ensure data quality, lineage, and observability., • Mentor junior engineers and establish coding and design standards across the team., • Monitor and optimize performance of data pipelines and storage solutions., • Stay up to date with emerging technologies and recommend improvements to the data platform. Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field., • 10+ years of experience in data engineering., • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch., • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL., • Deep understanding of data modeling techniques and best practices., • Experience with CI/CD tools and version control systems like Git., • Familiarity with data governance, security, and compliance in cloud environments., • Excellent communication and stakeholder management skills. Preferred Qualifications: • AWS Certified Data Analytics – Specialty or Solutions Architect certification., • Experience with Terraform or CloudFormation for infrastructure as code., • Knowledge of modern data architecture principles.

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help shape the future of ___. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new ___ in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, ___. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: • Developing, training, and optimizing state-of-the-art ___, with a primary focus on the ___ ecosystem., • Implementing advanced ___ and preprocessing techniques to improve model robustness on diverse ___., • Leading the full lifecycle of model development, from research and ___ to ___ and performance ___., • Mastering model ___ to various formats such as ___, ___, and ___ to support a wide range of hardware., • Working on model ___ strategies, including optimizing models for high-performance inference on both cloud and ___., • Contributing to our ___ pipelines using ___ to ensure code quality, reliability, and automated testing. 🛠️ Skills and Experience • 5+ years of hands-on experience in ___ and ___., • Expert-level proficiency in ___ and deep expertise with ___., • Strong practical experience with ___ for image and video processing tasks., • Proven experience in training, fine-tuning, and deploying object detection models, particularly within the ___., • Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like ___ and ___., • Experience with MLOps tools and practices, including version control (Git), ___, and ___., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment., • A strong portfolio of projects or contributions to open-source ___. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and our ___., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of ___ and eager to make a significant impact, ___ offers an exceptional career opportunity.

We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products. HCLTech is a globally recognized leader in the Tech and IT industry, but we’ve never forgotten the startup mindset that got us here. We’ve always approached our work with an idea-first attitude because every one of our accomplishments —no matter how big or small —can be traced back to an idea’s single spark. It’s that spark —that inner drive —that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled. Position: - Senior Generative AI Solutions Architect – Financial Services Location- UK, London Job Type- Hybrid Full time Employment - Permanent German Language - Good to have Department: Digital Foundation Services / Financial Services Virtual Delivery Unit Job Summary We are seeking a Senior Generative AI Solutions Architect with deep experience in financial services to lead the design and delivery of cutting-edge GenAI-driven solutions. This role is technology-agnostic and strategically focused, requiring a blend of deep AI expertise, domain knowledge in finance, and strong stakeholder management skills. You will be responsible for structuring GenAI use cases, engaging with customers and internal teams, and orchestrating work across third-party technology partners, all while ensuring the secure, ethical, and regulatory-compliant deployment of AI capabilities across the financial domain. Key Responsibilities: 1. Solution Architecture & Innovation • Define and design GenAI-driven architectures tailored to finance-specific use cases, including:, • Intelligent document processing (KYC/AML), • Conversational finance assistants (customer service, advisory), • Automated risk and compliance workflows, • Synthetic data generation for testing and modeling, • Personalized financial insights and reporting, • Select the right GenAI technologies (open-source, proprietary, cloud, or hybrid) to meet client goals without being tied to a specific vendor stack., • Lead solution blueprinting, technical feasibility assessments, and road mapping. 2. Customer & Executive Engagement • Act as the primary GenAI thought leader in strategic client engagements., • Conduct discovery sessions, co-creation workshops, and presentations to business and IT stakeholders (including C-suite)., • Translate complex AI capabilities into actionable business outcomes, ROI estimates, and transformation roadmaps. 3. Cross-functional & Third-party Collaboration • Coordinate with internal engineering, data, product, compliance, and risk teams to deliver scalable solutions., • Lead engagements with cloud providers, AI startups, system integrators, and consultancies to integrate best-in-class capabilities., • Serve as a governance and architecture lead across multi-party AI initiatives. 4. Risk, Compliance & Responsible AI • Ensure solutions are aligned with regulatory and compliance requirements (e.g., FINRA, SEC, GDPR, Model Risk Governance)., • Design solutions with embedded safeguards around transparency, explainability, auditability, and ethical AI usage. 5. Knowledge Development & Enablement • Create reusable playbooks, frameworks, and GenAI solution kits specific to financial services., • Mentor internal teams and conduct enablement sessions for business and technical stakeholders., • 10+ years in enterprise technology, consulting, or solution architecture roles, with 3+ years hands-on experience in GenAI or LLM-based solution design., • Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs., • Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, Hugging Face)., • Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems)., • Strong communication skills with demonstrated experience engaging senior-level stakeholders in both business and technology., • Experience with retrieval augmented generation (RAG), fine-tuning, model evaluation, or deploying models in production environments., • Understanding of financial risk modeling, model validation, or operational risk frameworks., • Knowledge of regulatory frameworks such as DORA, SR 11-7, or Basel III as they relate to AI., • Strategic mindset with strong execution skills, • Deep curiosity and passion for AI innovation in financial services, • Strong leadership presence with ability to influence across matrixed organizations, • Shape the next wave of AI transformation in financial services, • Work on complex, high-impact use cases across banking, insurance, and capital markets, • Collaborate with top-tier clients, partners, and AI researchers, • Competitive compensation and flexible work options

Were looking for a Principal AI Engineer who combines deep technical expertise with the ability to set direction, influence stakeholders, and shape the future of AI engineering across the enterprise.Our AI Acceleration organisation is building high-impact AI-powered applications that deliver measura

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help ___. 🌎 Location and Legalities This full-time Solutions Engineer position is based onsite in our brand-new ___ in London, UK, with a hybrid model of 3 days in-office and 2 days remote. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Solutions Engineer at Ultralytics, you will be the technical face of our organization, working directly with clients to architect and deploy computer vision solutions using the ___. Key responsibilities include: • Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using ___., • Delivering high-quality technical demos, onboarding sessions, proof-of-concepts, and workshops that demonstrate the power of ___., • Designing annotation strategies and ___ tailored to client data, goals, and deployment constraints., • Debugging client issues and delivering effective solutions with deep understanding of ___, Python, ___, and model behavior., • Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs., • Serving as a key technical advisor during customer engagements, ensuring successful integration and continued satisfaction., • Interfacing with Sales, Marketing, Engineering, and Product teams to advocate for customer needs and influence roadmap priorities., • Acting as a strategic technical advisor to clients, shaping computer vision solutions that drive tangible business outcomes., • Representing Ultralytics at conferences, webinars, and customer events while contributing to technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting ___ of delivering top-tier machine learning tools and models like ___ to the community. 🛠️ Skills and Experience • 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles., • Excellent client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders., • Proficiency in Python and familiarity with the ___., • Hands-on experience with ___, ___, and classical ML/CV concepts., • Strong understanding of end-to-end ___, including data collection, preparation, ___, ___, and ___., • Experience with ___ and comfort working across Linux, macOS, and Windows environments., • Demonstrated ability to teach or mentor teams and developers through courses, bootcamps, workshops, or community engagement., • Comfort leading workshops, writing technical guides, or presenting to developer audiences. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in Ultralytics growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and our ___., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.

Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase and be part of a team that accelerates the firm's data and analytics journey. As an AI ML Lead Software Engineer within the Chief Data & Analytics Office, you will become part of a mission to modernize compliance through scalable and ex

OpenAI, LangChain), and vector DBs.

Join Barclays as a Digital Customer Data Engineer, where you'll be leading the development for a new shared data platform that is transforming how individuals/organisations interact with the bank.Your role involves using the latest data and AI engineering skills to deliver a digital capability.As pa

This role offers the chance to address complex challenges across the firm's data ecosystem and develop impactful machine learning solutions.

As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. Morga

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Product-Focused Backend Engineer Functional Programming & Distributed Systems. As a Backend Engineer, youll join a growing team working at the forefront of AI infrastructure. Youll be part of a lean, high-calibre engineering function where every member contributes to planning, testing, analysis, an

PrincipalAgenticCI/CDEngineer(AI-DrivenDevOps,GCP,Harness).CompetitiveMarketRate(InsideIR35).IntelligentInfrastructureasCode:.

AI Back End Engineer** (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (2 - 3 days on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile Are you ready to shape the future of AI in financial services? We are look

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.Join Corporate and Investment Banking Markets technology as a Software Engineer and be part of a team that accelerates the productivity of thousands of engineers' lives.Our mission is to

Senior Generative AI Solutions Architect – Financial Services. We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of te

New Role: Data Science Engineer (NLP Focus).Flexible, with regular London meetings.We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale.This is a great opportunity for someone passionate about impactful data work and modern AI tools.Few year

Trainee AI Engineer - No Experience Needed!. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location.

As a Microsoft Power Platform & Agentic AI Engineer, you will spearhead the development of intelligent, enterprise-grade AI solutions using Microsoft's low-code ecosystem. Job Opportunity: Microsoft Power Platform / Agentic AI Engineer (Temporary, 6 Months). Are you ready to take your career to

Scala| Java | Spark |Luigi | Kafka | AWS | PostgreSQL.Are you a Data Engineer Looking for a gig where you actually get to solve tough technical challenges—not just sit through meetings? I’m working with an award-winning search intelligence scale-up that’s doing serious work in paid search and