146 jobs found

About the role We're looking for a Trading Operations Engineer to join our TradeOps team, supporting US, EU, Asian, and crypto markets across a global trading infrastructure. You'll monitor and resolve production issues in real time, manage trading strategies and infrastructure, and build tools, dashboards, and automation to improve speed and reliability. The role involves close collaboration with trading, research, engineering, clearing, and infrastructure teams. This is not just a monitoring role - you'll design and build systems that directly enhance operations. If you're curious, enjoy digging into complex systems, and want to make immediate impact, this role is for you. We will provide additional training on trading systems and platform-specific tooling. Location Austin, Texas OR London, UK (Hybrid) Key Responsibilities Monitor and support production trading strategies across multiple asset classes (equities, futures, FX, crypto) and exchanges (CME, Eurex, ICE, NYSE, NASDAQ, HKEX, LME) Investigate and resolve production incidents: strategy failures, application crashes, connectivity issues, clearing reconciliation breaks Manage trading application lifecycle from launches, restarts, configuration changes to risk limit updates Support clearing and post trade operations; trade reconciliation, drop copy feed management, broker coordination Manage server infrastructure; disk space, log rotation, OS upgrades, certificate management, capacity planning Coordinate with external counterparts - clearing brokers, exchanges, market data vendors Build and maintain monitoring dashboards, automation scripts, and operational tooling Maintain operational runbooks and knowledge base documentation Communicate incident status and trading impact to portfolio managers and senior management Identify process improvement opportunities and deliver automation to reduce manual intervention Basic Requirements Computer Science, Engineering, or related degree Practical knowledge of Python and Bash scripting Practical experience with Linux systems administration (SSH, processes, disk management, cron jobs, log analysis) SQL proficiency for querying production databases Strong problem solving skills under time pressure Curiosity and a builder mindset - you enjoy understanding how systems work end-to-end Detail oriented approach with ability to work independently in a fast paced environment Excellent written and verbal communication skills Nice To Have Requirements Trading systems or financial operations experience Knowledge of FIX protocol and exchange connectivity Experience with Java (reading logs, configs, stack traces) Familiarity with monitoring tools (Icinga/Nagios, Grafana) Experience with orchestration tools (Airflow, cron based scheduling) Understanding of networking fundamentals (DNS, TCP/IP, multicast, TLS/stunnel) Experience with version control (Git, SVN) Frontend development skills (React, JavaScript) for tooling and dashboards Understanding of trading concepts - order lifecycle, clearing, settlement, risk management What You'll Get Direct impact on production trading - when you fix something, strategies trade Exposure to the full technology stack from hardware to trading strategies Work across multiple asset classes and global exchanges Learn directly from quantitative researchers, traders, and senior engineers Small team with high autonomy and direct access to senior management Build real systems from scratch - dashboards, automation tools, monitoring platforms, and AI powered investigation engines that you own end to end Opportunity to design and ship complex projects that have immediate, measurable impact on trading operations Rare insight into how a quantitative trading firm operates end to end What makes you a match! You love to code and believe technology is YOUR thing You like working with people and resolving tech issues Working with prod doesn't scare you You are not afraid of the unknown and love to learn Benefits Health insurance Flexible sick time policy Office lunches

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Senior Product Designer, Agentic Vulnerability Elimination Remote Location: London, UK Position Summary HackerOne is seeking a Senior Product Designer to join our growing team focused on Agentic Vulnerability Elimination. In this role, you will design intelligent, AI-powered experiences that help customers identify, prioritize, and remediate vulnerabilities more effectively across the software development lifecycle. You will lead the design of complex product experiences from discovery through delivery, partnering closely with product managers and engineers across our UK and Netherlands teams. This is an opportunity to shape how AI agents and human workflows come together to eliminate vulnerabilities at scale, while delivering intuitive, high-impact user experiences. At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within 75 kilometers of London. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together - fostering collaboration, connection, and in-person moments that enrich our culture - while still preserving the benefits of remote work. What You Will Do Design end-to-end product experiences for Agentic Vulnerability Elimination, from discovery through delivery, applying First Principles Problem Solving to break down complex security and AI-driven workflows into intuitive solutions Build and iterate on AI-powered user experiences, embedding an AI First mindset into design decisions and contributing to workflows that leverage LLMs and automation effectively Partner closely with product managers, engineers, and data partners across the UK and Netherlands to deliver high-quality, user-centered solutions that improve vulnerability remediation outcomes Use Data-Driven Decision Making to inform design choices, validate hypotheses through research and testing, and continuously improve product experiences based on measurable impact Demonstrate Change Agility by adapting designs in response to evolving product direction, emerging AI capabilities, and shifting customer needs while maintaining momentum Contribute to and evolve HackerOne's Design Language System, ensuring consistency and scalability across products Communicate design rationale, tradeoffs, and decisions clearly to stakeholders, balancing user needs, technical constraints, and business goals Mentor junior designers and contribute to a collaborative, feedback-driven design culture Minimum Qualifications 8+ years of UX and product design experience, preferably in B2B or enterprise software environments Demonstrated experience designing complex workflows and systems, with the ability to independently lead projects from concept to implementation Experience applying AI tools or designing AI-enhanced user experiences, with an understanding of responsible and effective usage Strong proficiency in user research, interaction design, prototyping, and usability testing, with the ability to translate insights into product improvements Preferred Qualifications Bachelor's degree in UX, HCI, design, or a related field Experience designing for cybersecurity, developer tools, or technical platforms (e.g., vulnerability management, DevSecOps, or similar domains) Familiarity with designing for AI agents, automation systems, or human-in-the-loop workflows Basic understanding of front-end development principles and constraints Compensation Bands: Tier Guide UK Tier: $100,000-$123,000 Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

Location London Employment Type Contract Location Type On-site Department Product IT Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Note: this role is an onsite role for our London officeAs an IT Operations Specialist, you will: Be the primary support point of contact for the UK Cohere office Provide first response for all IT support requests for all Cohere employees globally during your shift Identify, troubleshoot, and resolve hardware and software problems, and provide employee training on our tools and systems (Google Workspace, Slack, Notion etc.) Work in tandem with our People Ops team to help onboard and offboard employees seamlessly. Order and track laptop shipments globally, going to all new hires Oversee our in-office networking and AV requirements, and continually work to improve and optimize our current setup. Assist with cycle counts, purchasing, and maintaining inventory of IT equipment for local and remote employees globally. Document and update IT procedures and SOPs as required Provide 1st level support to the office's wifi networks (routers/switches, WAPs) Provide white glove service to c-suite level stakeholders Provide A/V support for events (e.g. podcasts / conference calls with microphones and speakers) Navigate changing priorities. You could be providing basic troubleshooting for laptops, monitoring our device fleet, helping with video conferencing issues (either in-office or remotely), or helping new hires set up their devices You may be a good fit if: You have strong Mac, Google Workspace, and Slack support experience Strong Okta knowledge. (preferably Okta Certified Professional/Administrator) Experience with scripting languages (e.g., Python, PowerShell). Knowledge of cybersecurity best practices and data protection regulations (e.g., GDPR). You're a tinkerer and love working with all kinds of technology You're experienced with supporting Google Meet, Crestron, room schedulers, and have a solid understanding of networking concepts, internet tooling (wifi, routers, switches) You love hands on work and look forward to helping your teammates solve technical challenges You're organized, thoughtful, and eager to support and help train your customers You're a clear communicator, interested in creating processes to improve overall operational efficiency If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well being, quality time, and workspace improvement Remote flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co working stipend 6 weeks of vacation (30 working days!)

UX Researcher Location: London Department: Technology Salary Range: Not Specified Advertising End Date: 05 Jul 2026 Job Description Your team The Product Design team at The Times is a dedicated group of around twelve professionals working across reading experiences, subscriber journeys, and daily newsroom tools. We operate close to the newsroom, collaborating directly with editorial, product, engineering, and data teams to design trusted digital experiences for millions of readers. Your role We are looking for a hands on UX Researcher to support the work behind everything we build on the customer side of The Times: subscription journeys, retention, commercial moments, and the verticals readers stay for after the news. You will be the second researcher in the team, partnering with our senior researcher who covers the content tribe. Together you run the research practice. You will focus on customer: running your own studies end to end, synthesising what you learn, and making sure it changes what gets built. This is a hands on role for a confident mid level researcher. You will own your work and your stakeholders. You will have a senior researcher alongside you for the harder calls, the bigger studies, and the conversations about how the practice grows. Please apply with your CV and Portfolio Link. Day to day you will Own customer research from conception to decision making, including methodology selection, recruitment, moderation, and synthesis. Execute a balance of generative discovery for new opportunities and evaluative testing for features nearing launch. Run continuous discovery loops with subscribers to establish research as an ongoing, fast paced habit within the product team. Partner with the senior researcher to share methods, align participant panels, and scale the reach of the research practice. Interrogate user behavior tools like ContentSquare and data dashboards to challenge assumptions and ask analytical questions. Lift research literacy across the department by guiding designers and product managers through their own lightweight studies and discussion guides. What we're looking for from you Experience delivering full stack UX research on shipped digital products, showcasing both generative and evaluative methodologies. Deep qualitative depth in conducting user interviews, diary studies, and usability testing with an ability to navigate complex conversations. Familiarity with continuous discovery frameworks to support fast paced, iterative product development loops. Analytical comfort with quantitative data, giving you the ability to interpret user dashboards and design reliable surveys. Strong synthesis skills to transform complex user feedback into clear, actionable recommendations that guide product managers and designers. Fluency using AI tools within research workflows for transcription or analysis, paired with the critical eye to spot inaccuracies or ethical risks. Genuine care for journalism and a passion for understanding why human audiences choose to engage with and support our titles. Benefits Private medical insurance including coverage for pre existing conditions Discounted gym memberships, free ClassPass at Home, weekly in person/virtual exercise classes 'Bikes for Work' and 'Electric Car' scheme Up to 60% discount on Harper Collins books Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities Access to wellbeing benefits such as EAP, physio/massage and counselling A generous pension scheme with employer contributions of up to 5% Wide range of training available, plus full LinkedIn Learning access 25 days holiday, plus bank holidays and up to 4 volunteering days per year At News UK, we embrace a hybrid work model, currently requiring a minimum of three days per week in the office. This approach fosters collaboration, innovation, and team spirit within our workspace. Certain roles may necessitate additional in office days; please discuss this with your recruiter for specific requirements. We are committed to providing an inclusive recruitment process. If you require reasonable adjustments due to a disability or health condition at any stage of your application or interview, please let us know. You can contact us at to discuss how we can support you to perform at your best.

Your team The Product Design team at The Times is a dedicated group of around twelve professionals working across reading experiences, subscriber journeys, and daily newsroom tools. We operate close to the newsroom, collaborating directly with editorial, product, engineering, and data teams to design trusted digital experiences for millions of readers. Your role We are looking for a hands on UX Researcher to support the work behind everything we build on the customer side of The Times: subscription journeys, retention, commercial moments, and the verticals readers stay for after the news. You will be the second researcher in the team, partnering with our senior researcher who covers the content tribe. Together you run the research practice. You will focus on customer: running your own studies end to end, synthesising what you learn, and making sure it changes what gets built. This is a hands on role for a confident mid level researcher. You will own your work and your stakeholders. You will have a senior researcher alongside you for the harder calls, the bigger studies, and the conversations about how the practice grows. Please apply with your CV and Portfolio Link. Day to day you will Own customer research from conception to decision making, including methodology selection, recruitment, moderation, and synthesis. Execute a balance of generative discovery for new opportunities and evaluative testing for features nearing launch. Run continuous discovery loops with subscribers to establish research as an ongoing, fast paced habit within the product team. Partner with the senior researcher to share methods, align participant panels, and scale the reach of the research practice. Interrogate user behavior tools like ContentSquare and data dashboards to challenge assumptions and ask analytical questions. Lift research literacy across the department by guiding designers and product managers through their own lightweight studies and discussion guides. What we're looking for from you Experience delivering full stack UX research on shipped digital products, showcasing both generative and evaluative methodologies. Deep qualitative depth in conducting user interviews, diary studies, and usability testing with an ability to navigate complex conversations. Familiarity with continuous discovery frameworks to support fast paced, iterative product development loops. Analytical comfort with quantitative data, giving you the ability to interpret user dashboards and design reliable surveys. Strong synthesis skills to transform complex user feedback into clear, actionable recommendations that guide product managers and designers. Fluency using AI tools within research workflows for transcription or analysis, paired with the critical eye to spot inaccuracies or ethical risks. Genuine care for journalism and a passion for understanding why human audiences choose to engage with and support our titles. At News UK, we embrace a hybrid work model, currently requiring a minimum of three days per week in the office. This approach fosters collaboration, innovation, and team spirit within our workspace. Certain roles may necessitate additional in office days; please discuss this with your recruiter for specific requirements. Benefits Private medical insurance including coverage for pre existing conditions Discounted gym memberships, free ClassPass at Home, weekly in person/virtual exercise classes Bikes for Work and Electric Car scheme Up to 60% discount on Harper Collins books Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities Access to wellbeing benefits such as EAP, physio/massage and counselling A generous pension scheme with employer contributions of up to 5% Wide range of training available, plus full LinkedIn Learning access 25 days holiday, plus bank holidays and up to 4 volunteering days per year We are committed to providing an inclusive recruitment process. If you require reasonable adjustments due to a disability or health condition at any stage of your application or interview, please let us know. You can contact us at to discuss how we can support you to perform at your best.

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role: We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy. This is a deeply technical, hands on role. You will write production grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams. What You'll Do: Develop and maintain device software across the full episode lifecycle: session initialisation, per sensor stream management, episode recording, and graceful shutdown Integrate and synchronise sensor streams - wrist and head cameras, 6 DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally aligned, policy consumable trajectories Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset Own operator facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid episode We're Looking For: Experience in embedded or device level software in a robotics or sensing context - writing code that runs on the device, not just talking to it Proficiency in C++ and/or Python for real time sensor drivers, inter process communication, and data recording pipelines Solid understanding of multi modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue Nice to have: Experience with 6 DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce Exposure to operator facing tooling for data collection: session management, per episode quality summaries, rejection and retry workflows Experience scaling device software from a small number of prototype units to many devices operated by non engineers in the field What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included-we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.

Summary Imagine what you could do here. At Apple, great new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Media Services. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other innovative features. Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our platforms. Description We are looking for a Machine Learning Engineer focused on Evaluation & Insights for the Human-Centered AI team. In this role, you will bridge the gap between human perception and algorithmic performance, helping evaluate and optimize Foundation Models and generative AI systems. You will architect robust evaluation frameworks, design scalable MLOps pipelines for model assessment, and translate qualitative failure modes into programmatic guardrails and training signals (e.g., SFT, RLHF/DPO). This role blends deep ML engineering expertise with strong analytical judgment to assess, interpret, and improve the behavior of advanced AI models. You will work cross functionally with Software Engineering, Product, Research and Responsible AI teams at Apple to ensure that our AI experiences are reliable, safe, and aligned with human expectations. Responsibilities Lead Rigorous Model Evaluations: Architect and execute comprehensive evaluation suites for LLMs and multimodal models, identifying edge cases in multi step reasoning, factuality, adversarial robustness, safety, and alignment. Advanced Scoring Frameworks: Develop deterministic, heuristic, and LLM assisted evaluation frameworks (e.g., LLM as a judge, reward modeling) to quantify human perceived quality metrics (e.g., helpfulness, hallucination rates). Actionable Signal Extraction: Translate qualitative failure modes into quantifiable loss patterns, programmatic guardrails, and actionable data mixture adjustments for model training and inference. Improve Performance: Partner with engineering teams to refine model behavior, leveraging evaluation telemetry to inform prompt engineering, Retrieval Augmented Generation (RAG) strategies, and model fine tuning. Latent Pattern Recognition: Apply advanced ML techniques (e.g., embedding based clustering, representation learning, perturbation analysis) to systematically map error taxonomies and latent failure manifolds in model outputs. MLOps & Automation: Develop robust MLOps workflows to codify evaluation metrics, automate regression testing across model checkpoints, and integrate human centric assessments into ML CI/CD pipelines. Distributed Evaluation Pipelines: Architect scalable, distributed inference and processing pipelines (e.g., Ray, vLLM) for high throughput model evaluation, automated annotation, and output analysis at scale. Human Centric Metrics: Define quantitative evaluation frameworks that capture nuanced human factors, including trust calibration, conversational state tracking, and interpretability. Auto Evaluator Systems: Build automated evaluation pipelines utilizing LLMs to assess outputs at scale, optimizing for high correlation with human baseline annotations. Cross Functional Partnership: Collaborate with ML researchers, software developers, and product managers across Apple to translate product requirements into scalable, reliable, and efficient model evaluation infrastructure. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Cognitive Science, or a related technical field, with relevant industry experience in ML Engineering or Applied Research. Advanced proficiency in Python and modern deep learning ecosystems (PyTorch, JAX, Hugging Face). Strong ability to interpret unstructured model outputs (text, transcripts, embedding spaces) and synthesize qualitative findings into actionable engineering guidance and training objectives. Hands on experience developing, fine tuning, or evaluating LLMs, multimodal models, and NLP systems. Deep familiarity with AI quality metrics, hallucination detection techniques (e.g., SelfCheckGPT), model alignment (RLHF/DPO), and LLM as a judge frameworks (e.g., G Eval, DeepEval). Preferred Qualifications Knowledge of human factors, HCI, or cognitive science methodologies as applied to AI system design. Proven experience building scalable ML inference pipelines, model evaluation workflows, and structured rating frameworks for large scale AI systems. Experience building internal tools or automated pipelines for ML workflows using tools like MLflow, Weights & Biases, or similar platforms. Strong familiarity with advanced prompt engineering, RAG architectures (vector databases, semantic search), and Fine Tuning. Equal Employment Opportunity & Accessibility At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Job Title iOS Team Lead, Security Research Engineer Job Location Picadilly circus, London Job Description L3Harris Trenchant's expertise is the by-product of the L3Harris acquisition of two highly-regarded information security businesses - Azimuth Security and Linchpin Labs. United under Trenchant, we are a key component of L3Harris' Intelligence and Cyber International Division. We are a trusted, discrete partner furnishing security products, consultancy, training and integration services to allied security, defense, and law enforcement agencies. We are seeking an accomplished and collaborative Team Lead to guide an advanced offensive security research team. You will drive research strategy, foster knowledge sharing, mentor talented security researchers, and ensure the team remains at the forefront of vulnerability discovery and exploit development across cutting-edge platforms. Essential Functions Lead a high-performing team of offensive security researchers, supporting professional development and team wellbeing through regular video check-ins. Facilitate regular and transparent communication via weekly and event-driven status updates covering achievements, challenges, team needs, and research progress. Create a collaborative and supportive team environment by promoting documentation, knowledge sharing, and technical presentations. Organize and lead engaging weekly team calls for resource sharing, brainstorming research directions, and collaborative problem-solving. Mentor junior researchers and new hires, supporting strong onboarding, continuous learning, and ongoing professional growth. Manage technical recruitment activities, including interviewing and evaluating candidates. Conduct performance reviews, provide feedback, and communicate outcomes to leadership. Plan and manage the team's budget, covering travel, training and conference opportunities. Attend leadership meetings and coordinate cross-team initiatives; align team objectives with organizational priorities. Technical Responsibilities Oversee and guide the identification, analysis, and exploitation of vulnerabilities in modern operating systems, kernel components, and complex software ecosystems. Direct research in reverse engineering, proof of concept exploit development, and bypassing advanced security mitigations. Set technical priorities for the team, balancing current research objectives with exploration of new attack surfaces and technologies. Ensure research stays current with evolving attack techniques, mitigations, and emerging technologies. Encourage dissemination and publication of impactful research and adaptive approaches to industry wide software/security updates. Qualifications Proven experience leading or mentoring technical teams in offensive security or vulnerability research. Extensive track record of iOS vulnerability research and exploitation on modern devices and chipsets. Strong understanding of recent iOS mitigations such as Pointer Authentication Codes (PAC), Secure Page Table Monitor (SPTM), and Memory Integrity Extension (MIE), etc. Advanced expertise in vulnerability discovery, reverse engineering, and exploit development within the iOS operating system or platform. Strong programming skills, including proficiency in C, C++, and low level assembly. Familiarity with industry standard toolsets for reverse engineering and debugging. Excellent organisational, communication and team building skills. Demonstrated history of impactful security research (e.g., advisories, assigned CVEs or technical publications). Benefits Bonus scheme 25 days holiday per year (plus bank holidays), increasing with long service and the opportunity to buy/sell up to 5 days Private medical insurance with optional family cover Pension scheme up to 8% employer contribution Life Assurance 4 salary (flexible up to 10 ) Group income protection Flexible opt in extras such as a health care cash plan, dental insurance, gym membership, critical illness cover, cycle to work scheme, travel insurance and electric car scheme Employee Family Assistance Program providing mental health and wellbeing support Important To Know Due to the nature of our work many of our roles require a UK nationality and the ability to obtain a security clearance. Applicants who accept a conditional offer of employment must meet the right to work in the UK, eligibility requirements for access to classified information and will be subject to government security checks. L3Harris Technologies is proud to be an Equal Opportunity Employer. We are committed to maintaining a workplace that is free from unlawful discrimination and offers equal opportunities for all. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage and civil partnerships.

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About The Role We're hiring a strong Manipulation Capabilities Engineer to join our team based in London. In this role, you will work on teaching our robots to manipulate the world around them. This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don't have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn't work). What You'll Do Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment. Come up with data preprocessing strategies to improve the quality of collected data. Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world. Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions. Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators. Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience. Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs. What We're Looking For 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack. Experience with neural network post-training. Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code. Good familiarity with modern software engineering practices. Ability to document experiments clearly and communicate trade offs crisply. Nice to have: Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. Experience applying RL to robotics problems. Publications at top-tier robotics or deep learning conferences or equivalent open source contributions. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included-we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.

Job Title: Interim Associate/Senior Editor - BMC Musculoskeletal Disorders Fixed-Term contract (Maternity Leave Cover) Locations: London or Berlin Application Deadline: 2nd July 2026 About Springer Nature Springer Nature is one of the leading publishers of research in the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit About the Brand BMC has more than 20 years of experience in developing open access and provides high-quality, impactful research and a supportive publishing experience for authors. We are committed to publishing the best open access journals in our portfolio of over 250 titles and we strive to drive progress in biology, health sciences and medicine. Visit and About the Role You will contribute to the success of the BMC Series by supporting editorial handling of content in BMC Musculoskeletal Disorders and by driving the content development of this journal. This is a dynamic and varied role that will give you the opportunity to see content across a broad range of topics and contribute to the success of BMC as a whole. Communication is a key part of this role, as you will need to build excellent and productive relationships with the external Editorial Board who manage the peer review process and with internal teams responsible for journal editorial office support. Role Responsibilities : Content Development Develop a journal development strategy for BMC Musculoskeletal Disorders , taking into account individual journal performance and development needs, as well as the overall strategy of the BMC series. Work with colleagues across the Journals group to support subject-specific strategy development at Springer Nature. Identify and commission reviews, collections and supplements, and work with the scientific community to drive these forward. Peer Review Quality Oversee the handling of the content published in BMC Musculoskeletal Disorders primarily by advising on content handled by editorial board members, but also by handling individual submissions yourself where required. Investigate and resolve publishing or research ethics cases, both pre- and post-publication, with the guidance of Springer Nature Research Integrity Group when needed. Engage effectively with other teams to support the resolution of editorial issues and to prioritise author service while maintaining editorial standards Advise on editorial policy development as appropriate. Editorial Board Management Build strong communication and relationships with Editorial Board Members and authors. Conduct calls with Senior Board Members to discuss journal policy, editorial board recruitment, and content-related matters. Contribute to the recruitment and training of new editorial board members. Support editorial board engagement initiatives across the journals. Organize and lead Senior Board and Editorial Board Meetings, both in-person and online. Ensure that all Editorial Board Members are fully informed of the journal's ethos and editorial policies and have the necessary training to perform their roles effectively. Building Awareness of the BMC Series Contribute to the efforts of the marketing team, providing input into marketing plans and activities. Develop journal website content and features that are of interest to the community and raise the profile of the journal website in the online environment. Attend conferences to promote the journal and develop a network of contacts within relevant fields. Increase journal visibility by writing blogs and participating in social media activities to promote journal content and BMC values. Team Contribution Contribute to the culture of the BMC editorial team by supporting your colleagues, covering for them when needed and sharing expertise and experience. Experience, Skills & Qualifications: Educated to PhD or MD level (or equivalent) in a relevant field with research experience Excellent communication and interpersonal skills, with a customer-focused approach Ability to critically assess manuscripts across a range of topics for novelty, scientific content, and their implications Excellent time management and prioritization skills, able to balance short-term deadlines with long-term goals Previous solid editorial experience in scientific publishing is needed to be considered for the Senior Editor level To Apply: You Must Submit a CV a cover letter where you also explain how your skills and knowledge could be applied to the role. Springer Nature Skills associated with this job profile include: SN-Manuscript Assessment, SN-Critical Scientific Evaluation, SN-Scientific Comprehension, SN-Collaboration, SN-Decision Quality, SN-Communicates Effectively, SN-Scientific & Academic Writing, SN-Being Resilient, SN-Operational Excellence, SN-Interpersonal AwarenessAt Springer Nature, our mission is to be part of progress - and that begins with inclusion: of people, perspectives, and ideas. We believe that diverse perspectives drive progress, and we are committed to creating an environment where people and ideas can flourish. If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here: For more information about career opportunities in Springer Nature please visit

Reports to: Head of Research Computing Platforms Working pattern: Monday - Friday: This is a full time permanent hybrid role (at least 3 days a week in office after probation) on Crick terms and conditions of employment. Salary: From £73,000 - £82,000 with benefits, subject to skills and experience Application closing date: 3rd of July at 11.59pm About us The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state of the art infrastructure, cutting edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the role We are looking for a collaborative HPC Operations Lead to play a pivotal role in shaping the future of research computing at the Crick. As HPC Operations Lead, you will join our Research Computing Platforms/HPC team, reporting directly to the Head of Research Computing Platforms. This is a highly collaborative position where you'll work closely with scientists across the Institute, other Science Technology Platforms, and the wider Information Technology Office to ensure our platforms and services meet the evolving needs of the scientific community. You will take ownership of the operational effectiveness of the team, driving the smooth running and continual improvement of services, overseeing the HPC service desk to ensure timely resolution of incidents, and designing and delivering training courses. You will also deputise for the Head of Research Computing Platforms, taking on wider managerial responsibilities as required. You will be expected to bring prior leadership experience and the ability to communicate effectively with stakeholders across the organisation. You must be able to translate technical language into clear, accessible terms, ensuring that complex information is understood. This is an exciting opportunity for someone with strong technical expertise, a collaborative mindset, and the confidence to lead both people and platforms in a progressive research environment. What you will be doing You will: Understand the scientific and research requirements of the Crick's scientific programmes to advise and deliver platforms and services appropriate to their needs. Technical lead on the design, implementation, operation of research data storage services for access by researchers and instruments inside the Crick and for external collaborations. Work with the Head of Research Computing Platforms and the wider Scientific Computing function to define a technology vision and roadmap for storage systems. Ensure Research Computing Platforms is a user facing service through the delivery of an engaged and supportive HPC service desk. Serve as incident manager for Research Computing Platforms in response to unplanned service outage. Work collaboratively across ITO teams including Architecture, Security and Helpdesk in the delivery and operational management of research platforms and services. Experience of leading on the design, maintenance and optimisation of petabyte scale high performance storage systems. Experience of leading on the operation and management of high performance compute clusters. Ability to manage complex services and projects effectively and efficiently with minimal supervision, a finite pool of resource, and against deadlines. Excellent interpersonal and communication skills, and demonstrable ability to work collaboratively and flexibly as part of a deeply technical engineering team, while still able to work directly with stakeholders to focus on research/business outcomes. Previous experience of working in a biomedical research environment (Desirable) Additional domain technology expertise such as automation and data centre networking (Desirable) About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture. We are bold. We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We are open. We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We are collegial. We show respect for one another, work cooperatively and support the wider community. At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. We are Disability Confident: Committed employer and want to ensure that everyone can apply and be part of our recruitment processes and so we will make reasonable adjustments if you need them - just let us know when you apply. If you need assistance with applying (i.e., would like to apply by phone or post) please email: . At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK. Generous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme: Defined contribution pension with employer contributions of up to 16%. 24/7 GP consultation services. Occupational health services and mental health support programmes. Eye care vouchers and discounted healthcare plans. Work Life Balance: Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Discounted gym memberships, bike to work scheme, and shopping discounts. Subsidised on site restaurant and social spaces for team interaction. Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed. We reserve the right to withdraw this advert at any given time due to the number of applications received.

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission critical needs always in mind, our employees deliver end to end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title - IT Systems and Infrastructure Engineer Job Location - London Job ID - 35606 About this opportunity and L3Harris UK Operating at 11 sites in the United Kingdom, L3Harris supports Britain's mission to secure and strengthen the country by delivering sovereign innovation across the space, air, land, sea and cyber domains. L3Harris Trenchant is an elite global team of engineers and security researchers charged with building world class computer security products. Trenchant's expertise is the by product of the L3Harris acquisition of two highly regarded information security businesses - Azimuth Security and Linchpin Labs. United under Trenchant, we are a key component of L3Harris' Intelligence & Cyber Division. We are a trusted, discrete partner furnishing security products, consultancy, training and integration services to allied security, defence, and law enforcement agencies. A few of our employee benefits are: 25 days holiday per year (plus bank holidays), increasing with long service and with the opportunity to buy/sell up to 5 days Private medical insurance with optional family cover Pension scheme of up to 8% employer contribution Life Assurance 4x salary (flexible up to 10x) Group income protection Flexible opt in extras such as a health care cash plan, dental insurance, gym membership, critical illness cover, cycle to work scheme, travel insurance and electric car scheme Employee Family Assistance Program providing mental health and wellbeing support Professional membership reimbursement (discretionary) What the role will involve The responsibilities of your role will include the following: Align IT services with global standards and ensure stable, reliable infrastructure. Resolve issues promptly and communicate clearly for a positive user experience. Take ownership of problems and improve systems, processes, and service quality. Collaborate effectively with colleagues across regions and share knowledge. Enhance security and resilience through disciplined patching and monitoring. Build constructive, trusted relationships with the teams you support. Technical Responsibilities Operate and maintain regional and global infrastructure services including servers, networks, virtualization platforms, storage systems, and cloud environments. Diagnose and resolve complex technical issues. Deploy, configure, and maintain Linux servers and containerized workloads. Support and improve network infrastructure, including routing, switching, firewalls, VPNs, and site to site connectivity. Automate infrastructure provisioning and management using tools such as Ansible, Terraform, Python, and Bash. Support cloud based services, particularly AWS. Assist in the deployment and maintenance of developer tooling. Participate in incident response and serve as an escalation point for complex issues. Monitor system health and performance, using tools such as Prometheus, Grafana, and SNMP. Enhance infrastructure security through hardening, patching, and vulnerability remediation. What you'll bring The role requires the following experience and skills: Proficient in Linux system administration Strong skills in analyzing and solving technological challenges. Experience with networking fundamentals, containerization technologies, and cloud platforms. Familiar with automation and security best practices. Eligibility to obtain a security clearance Professional experience in systems, networks, or infrastructure engineering. Experience supporting technical or engineering focused teams. Important to know Due to the nature of our work many of our roles require a UK nationality and the ability to obtain a security clearance. Applicants who accept a conditional offer of employment must meet the requirement of right to work in the UK and must meet eligibility requirements for access to classified information and will be subject to government security checks. L3Harris Technologies is proud to be an Equal Opportunity Employer. We are committed to maintaining a workplace that is free from unlawful discrimination and offers equal opportunities for all. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage and civil partnerships.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better, fairer, more trustworthy, and more secure Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole. Please Note: The existing team works in offices in London, Edinburgh, Paris, Toronto, and New York, but we also embrace being remote-friendly! For this role you need to have 50% working day overlap with UK/EU timezone (e.g. US East is fine) but there are otherwise no restrictions on where you can be located for this role. You may be a good fit if you have: Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. Extremely strong software engineering skills. Strong expertise in designing and conducting data collection tasks, including working with human annotators. Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models. Hands on experience training large language models (LLMs) on distributed training infrastructures. Familiarity with evaluating and improving the generalizability and robustness of ML systems. Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross functional teams and present findings. One or more papers at top tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% parental leave top up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well being, quality time, and workspace improvement Remote flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co working stipend ️ 6 weeks of vacation (30 working days!)

Job Overview Job Title: Interim Associate/Senior Editor - BMC Musculoskeletal Disorders (Fixed-Term, Maternity Leave Cover). Locations: London or Berlin. Application Deadline: 2 July 2026. About Springer Nature Springer Nature is a leading publisher of research, offering technology-enabled products and platforms to support researchers, health professionals and educators worldwide. About the Role You will support editorial handling of content in BMC Musculoskeletal Disorders and drive content development of the journal. This dynamic role provides exposure across a broad range of topics and involves building relationships with the Editorial Board and internal teams. Role Responsibilities Develop a journal development strategy for BMC Musculoskeletal Disorders, aligned with overall BMC series strategy. Work with colleagues across the Journals group to support subject-specific strategy development at Springer Nature. Identify and commission reviews, collections and supplements, working with the scientific community to drive these forward. Oversee content handling by advising editorial board members and, where required, handling submissions directly. Investigate and resolve publishing or research ethics cases with support from the Research Integrity Group. Engage with other teams to support resolution of editorial issues and prioritize author service while maintaining editorial standards. Advise on editorial policy development as appropriate. Build strong communication with Editorial Board Members and authors, conduct calls, and contribute to board recruitment and training. Organize and lead Senior Board and Editorial Board meetings, both in-person and online. Contribute to marketing activities, develop journal website content, and raise the journal's profile through blogs and social media. Attend conferences to promote the journal and develop a network within relevant fields. Support team culture by collaborating with colleagues and sharing expertise. Experience, Skills & Qualifications PhD or MD level (or equivalent) in a relevant field with research experience. Excellent communication and interpersonal skills with a customer-focused approach. Ability to critically assess manuscripts across a range of topics for novelty and scientific content. Excellent time management and prioritization skills, balancing short-term deadlines with long-term goals. Previous solid editorial experience in scientific publishing is required for Senior Editor level. Springer Nature Skills Profile SN-Manuscript Assessment, SN-Critical Scientific Evaluation, SN-Scientific Comprehension, SN-Collaboration, SN-Decision Quality, SN-Communicates Effectively, SN-Scientific and Academic Writing, SN-Being Resilient, SN-Operational Excellence, SN-Interpersonal Awareness. Inclusion and Equality We are committed to creating an environment where people and ideas can flourish. If you have any access or disability needs, please let us know so we can make necessary accommodations.

Salary: £43,000 - 72,000 per year Requirements We require a degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline. We require strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch. We require proven experience delivering machine learning solutions within commercial, research or government environments. We require a strong understanding of modern AI/ML techniques across Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision. We require experience training, fine tuning and evaluating machine learning and AI models. We require the ability to undertake technical research and apply findings to real world challenges. We require experience producing high quality technical documentation, reports or research publications. We require previous experience mentoring team members and providing technical leadership. We require an active eDV (enhanced DV) UK Security Clearance. We prefer an MSc or PhD with a strong research background. We prefer experience developing and maintaining robust ML pipelines and MLOps practices. We prefer familiarity with version control, containerisation and environment management tools, including Git and Docker. We prefer experience working within Linux environments and using command line tooling. We prefer experience deploying and scaling AI/ML solutions into production environments. We prefer cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable. We prefer published research in peer reviewed journals or conferences. We prefer experience writing technical proposals, bids or research funding submissions. Responsibilities We design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy. We lead technical investigations, research activities and AI/ML development across customer and internal projects. We identify innovative approaches to solving complex technical challenges and contribute to future research directions. We provide technical leadership within project teams and support successful project delivery. We collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions. We mentor and support junior team members, helping to develop technical capability across the wider team. We communicate complex technical concepts clearly to both technical and non technical audiences. Technologies AI AWS Azure Cloud Computer Vision Docker GCP Git Support Linux Machine Learning PyTorch Python Security TensorFlow More We are a leading National Security and Cyber organisation developing advanced AI and machine learning solutions that support critical national security missions. We work within a mature Agile environment and collaborate closely with customers, engineers, researchers and data scientists on complex real world challenges. This role can be based in Gloucester, Manchester or London, with hybrid working typically three days per week on site. We offer opportunities at Associate, Senior and Principal levels, a collaborative environment with experienced specialists, and strong opportunities for technical development, leadership and career progression. Our benefits include a competitive salary, eDV bonus on top of salary, annual bonus, company bonus scheme, contributory pension scheme with up to 10.5% company contribution, life assurance at six times salary, and 25 days holiday plus public holidays, with the option to buy and sell up to five days.

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Senior ML Engineer (VLA & Navigation) (London) to join our Perception and Navigation team based in London. In this role you will lead the design, development, and optimization of cutting-edge computer vision and spatial understanding systems, including object detection, semantic segmentation, 3D scene reconstruction, and persistent geometric reasoning. What You'll Do Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning. Work on open-ended navigation powered by Vision-Language-Action (VLA) models - enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction. Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness. Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems. Stay ahead of the field - rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands on experience building, fine tuning, and deploying large scale ML systems. Strong experimental and research skills - capable of taking projects from concept to model training, evaluation, and robot integration. Comfortable working in a fast moving, research driven environment with evolving models, data, and tools. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients' engineering teams, you'll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI. In this role, you will: Build and ship features for North, our AI workspace platform Develop autonomous agents that talk to sensitive enterprise data Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations Work across the entire product lifecycle from conceptualization through production You may be a good fit if: You have experience with and enjoy working directly with customers You have shipped (lots of) Python in production You have built and deployed highly performant client-side or server-side RAG/agentic applications You have strong coding abilities and are comfortable working across the stack. You're able to read and understand, and even fix issues outside of the main code base You excel in fast-paced environments and can execute while priorities and objectives are a moving target If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend 6 weeks of vacation (30 working days!)

Join us at the forefront of transforming how operations work gets done. As part of our Applied AI for Markets Operations team, you'll help redefine the relationship between humans and AI, building interfaces that empower people to supervise and steer fleets of intelligent agents. You'll collaborate with talented researchers, engineers, and designers to deliver industry-leading solutions. This is your opportunity to set new standards for human-agent interaction and make a lasting impact on the future of operations. As a Vice President, Human-in-the-Loop Interface Engineer in Applied AI for Markets Operations, you will own the design and delivery of interfaces that enable human supervision of AI agents at scale. You will work closely with applied researchers, ML engineers, product managers, and UX designers to create intuitive, trustworthy, and effective tools for operators. Your expertise will shape how our platform supports settlements, reconciliations, margin call disputes, and regulatory workflows. You will set the technical direction for our HITL stack and help define what excellence looks like in human-agent collaboration. Job Responsibilities: Design and build HITL interfaces for supervising, steering, and intervening in agentic workflows Prototype new interaction patterns for emerging agentic capabilities and transition successful prototypes to production Collaborate with UX as a creative peer, shaping both interaction design and implementation Set technical direction for the HITL stack, including framework selection, state management, and streaming UI integration Define contracts between agent runtimes and the supervision surface in partnership with backend and model engineers Contribute to the agentic UI strategy across Markets Operations, establishing standards for human-agent interaction Ensure interfaces support approvals, corrections, exceptions, streaming reasoning, tool calls, and multi-agent coordination Integrate with case orchestration and context engineering layers Communicate clearly with research, ML, product, design, and operations stakeholders Deliver maintainable, production-grade code that meets high standards for reliability and usability Required Qualifications, Capabilities, and Skills: Expertise in building and maintaining production-grade web applications at scale Advanced proficiency with modern React and TypeScript Hands on experience with CopilotKit, AG UI, Vercel AI SDK, LangGraph UIs, or similar frameworks Strong design sensibility and ability to collaborate with designers as a creative partner Understanding of LLM powered UI realities, including streaming, tool call rendering, structured outputs, latency, and context limits Ability to take ideas from prototype to shipped code Effective communicator across technical and non-technical teams Preferred Qualifications, Capabilities, and Skills: Experience with human in the loop ML systems beyond LLMs (e.g., active learning, annotation tooling, expert review workflows) Background in financial services or regulated industries with exposure to operational workflows Contributions to open source in agentic UI or AI SDK domains Familiarity with MCP (Model Context Protocol) and tool gateways Formal training in HCI or a design related field If you're passionate about shaping the future of human AI collaboration and want to make a meaningful impact in a high stakes environment, we invite you to join us and help define what's possible.

King's Cross, United Kingdom Posted on 03/18/2026 Our client is looking for a Software Engineer hybrid role at Kings Cross, London. Duration - 6 months (possibility for extension) Our client is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. Responsibilities Carry out cutting edge research to advance the science and technology of machine learning systems. Design methods, tools, and infrastructure to push forward the state of the art in large language models. Collaborate with researchers and cross functional partners including communicating research plans, progress, and results. Suggest, collect and synthesize requirements and create an effective feature roadmap. Code deliverables in tandem with the engineering team. Publish research results and contribute to research that impacts Meta product development. Requirements 2+ years of hands on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post training. Programming experience in Python and hands on experience with frameworks such as PyTorch. Experience writing software and executing complex experiments involving large AI models and datasets. Proven experience to translate insights into business recommendations Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Direct experience in generative AI and LLM research PhD degree or research focused Master's degree in ML areas Healthcare contribution and inclusion in company pension scheme Work laptop and phone 25 days annual leave (pro rata) plus paid bank holidays Expanding workforce with potential for career progression for top performers