52 jobs found

Machine Learning Engineer Department: Project Delivery Employment Type: Permanent - Full Time Location: London Reporting To: Mike Winstanley Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This role is for engineers who want to build real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside DACs and Business Consultants. Acquire and extract data from client source systems. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues throughout delivery. AI engineering Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within DACs. Mentor DACs on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production. Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data & database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) DBT. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data scientists, engineers and consultants. Bonus points if you have Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually. Work for a passionate, mission driven company solving society's big problems. Work flexible hours around life commitments with a focus on delivering company value rather than hours worked. Ability to work remotely (excluding face to face Team Meetings and client meetings). Training and development opportunities. 25 days annual leave (plus bank holidays). Company pension. Private medical insurance. Generous enhanced parental leave policies. Cycle to work scheme. Flu vaccinations. Eye test and contribution towards glasses for VDU use. Employee Assistance Programme Mental health and wellbeing support. Remote GP access. Counselling/therapy. Physiotherapy. Medical second opinions.

Location: London, UK (hybrid)Amex GBT is at the center of revolutionizing business travel with our cutting-edge technology and the most desirable products in the industry. We're a global, product-focused AI team with hubs in Bellevue, Chicago, Paris, London, Gurgaon, and now extending to Manchester. Since 2017, we've been delivering AI systems at scale - from ranking models and savings optimization engines to client-facing LLM-powered experiences used by business travelers worldwide.We are looking for a Machine Learning Engineer III to join our Product AI Engineering team. You will help us design, build, and optimize intelligent systems. This is not just a modeling role, you'll own the full lifecycle: from raw data to deployed models / compound systems to measurable business impact. If you're passionate about solving real-world problems at scale, collaborating across disciplines, travel, and making AI systems that truly matter - this is for you. Utilize AI techniques, including machine learning, deep learning, generative AI, and statistical modeling, to develop and implement solutions for tackling real-world problems such as ranking, chatbot, intent recognition, agentic AI systems, recommender systems, computer vision, NLQ etc.Apply strong coding skills, analytical abilities, and innovative thinking to quickly understand new domains and transform creative ideas into functional solutions. 8+ years of experience with a bachelor's degree or equivalent, or 5+ years with a master's degree or equivalent.Proven ability to conceptualize business problems and solve them through data science solutions. Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., with an excellent grasp of statistical concepts and methods. Strong passion for solving problems and finding patterns and insights within structured and unstructured data. Industry experience in leveraging AI techniques on real-world large data sets.Strong knowledge of hands-on practice in Python. Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow. Experience with MLFlow, AWS SageMaker and Bedrock is preferred.Good written and oral communication skills, including the ability to communicate across business areas and increase overall knowledge across the organization. Experience with feature stores, machine learning models as service, and monitoring dashboards is a plus. Some infrastructure knowledge (AWS, Kubernetes) and cost-awareness are a plus. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more! Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.

Machine Learning Engineer (CS) Department: Customer Success Employment Type: Permanent - Full Time Location: London Reporting To: Mark Dale Description The Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team - a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is monitoring, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This is a role for engineers who want to build and maintain real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside Data Engineers. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues in BAU. AI engineering Optimise and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multi component AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within the Technical Operations team. Mentor Data Engineers on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data and database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) dbt. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data, engineers and customer success. Bonus points if you have: Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location - This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually Work for a passionate, mission driven company solving society's big problems Work flexible hours around life commitments with a focus on delivering company value rather than hours worked Ability to work remotely (excluding face to face Team Meetings and client meetings) Training and development opportunities 25 days annual leave (plus bank holidays) Company pension Private medical insurance Generous enhanced parental leave policies Cycle to work scheme Flu Vaccinations, Eye Test and contribution towards Glasses for VDU use Employee Assistance Programme Mental health and wellbeing support Remote GP access Counselling/therapy Physiotherapy Medical second opinions

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! Position Overview We're seeking a Technical Program Manager to own release coordination across North's growing product portfolio. This role sits at the intersection of engineering, product, and customer delivery, ensuring that North ships reliably, communicates clearly, and continuously improves how it gets software out the door. 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. As a Technical Program Manager, you will: Own end-to-end release coordination for North, including managing release trains, defining cadences, and ensuring smooth execution across engineering and product teams Drive cherry pick and hotfix approval workflows, triaging urgency, aligning stakeholders, and shepherding changes through to deployment with appropriate guardrails Author and manage customer-facing release communications, translating technical changes into clear, accurate updates for enterprise customers and internal stakeholders Establish and scale release processes that allow North's teams to ship faster and with greater confidence as our platform grows Map cross-team dependencies and risks across the release pipeline, surfacing blockers early and coordinating resolution across engineering, product, and customer success Partner directly with North Leadership and Members of Technical Staff on efforts to improve release quality, velocity, and operational rigor Manage project tracking tools (Linear, GitHub workflows) and facilitate release planning sessions across cross-functional teams Respond quickly to program-level changes: clarifying scope, adjusting timelines, and marshaling the right resources when customer or market priorities shift. You may be a good fit if you: Have 3+ years as a Technical or Engineering Program Manager, with demonstrated experience in startup or high-growth environments Have owned or significantly contributed to software release processes, including versioning strategies, hotfix workflows, or staged rollout coordination Have experience with AI/ML products or technical platforms Are comfortable with low structure, high impact situations where you can build processes from scratch and operate at both tactical and strategic levels Communicate with precision. Able to interact with Technical Writing on customer-facing release notes and executive summaries as fluently as you track a GitHub PR Have strong bias for action and can move quickly from problem identification to solution implementation Have experience with project management and release tooling (Linear, Jira, GitHub, etc.) Love to automate your work, and can use North to do so! 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!)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. What You'll Do We are seeking an AI Adoption Engineer to serve as the primary technical partner for Jump's back office teams, including Finance, Legal, HR, and other non-trading functions, as they integrate AI into their day-to-day work. This role sits at the intersection of AI research, infrastructure, and core business applications. As a hands on AI expert, you will pair with developers and AI champions across the firm to identify high value use cases, build solutions using Jump's internal AI platform, and work closely with R&D and infrastructure to unlock new capabilities as needed. You will own the full lifecycle of back office AI solutions, from discovery and stakeholder conversations to prototyping, deployment, and ongoing iteration, while establishing best practices for prompting, agent design, evaluation, robustness, and responsible AI use. We believe that driving successful adoption across the firm requires a fluid mix of technical depth, product intuition, and genuine curiosity about how business teams operate. We welcome candidates who demonstrate knowledge of current best practices, follow new patterns closely as they emerge, experiment often, and are equally comfortable working with technical and non technical stakeholders. The ideal person for this role is confident in the immediate and measurable benefits of well designed AI applications. They are eager to build, but equally happy to teach, and capable of applying new techniques and technologies within a responsible, secure, and scalable framework. Other duties as assigned or needed. Skills You'll Need 2+ years of professional software engineering or applied AI experience Strong proficiency in Python, with hands on experience integrating LLM APIs, building AI powered applications, or working with agent/automation frameworks Demonstrated ability to work directly with non technical or semi-technical business stakeholders, translating ambiguous problems into clear, actionable solutions Excellent communication and interpersonal skills Comfort explaining complex technical concepts to diverse audiences and building trust across teams Strong analytical and problem solving skills with a bias toward simplicity and usability Familiarity with core software engineering fundamentals Ability to work smoothly across a range of technical environments (Mac, Windows, and Linux) as needed Bachelor's degree in Computer Science, Computer Engineering or related field Reliable and predictable availability Benefits Private Medical, Vision and Dental Insurance Travel Medical Insurance Group Pension Scheme Group Life Assurance and Income Protection Schemes Paid Parental Leave Parking and Commuter Benefits Discretionary bonus eligibility Medical, dental, and vision insurance HSA, FSA, and Dependent Care options Employer Paid Group Term Life and AD&D Insurance Voluntary Life & AD&D insurance Paid vacation plus paid holidays Retirement plan with employer match Paid parental leave Wellness Programs Annual Base Salary Range $200,000 - $250,000 USD

Equity Index Solutions Specialist, Financial Solutions Location London Business Area Sales and Client Service Description & Requirements Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Within the Bloomberg Financial Solutions vertical, Bloomberg Index Solutions Limited (BISL) offers a diverse range of fixed income, commodity, currency and equity indices. With extensive asset coverage, a strong history of innovation, and objective and transparent rules, Bloomberg indices are widely used as a source for portfolio construction and performance comparison. We offer an array of services to clients interested in custom index development, investable index products designed to offer access to systematic strategies, index administration and calculation agent services. Bloomberg indices are driven by the same trusted reference data, pricing and analytical calculations that are used throughout the investment process. What's the role? We're looking for a client-facing Equity Index Solutions Specialist to help drive the growth and adoption of Bloomberg's equity index offerings. This is a highly technical and commercially focused role, ideal for professionals with deep experience in equities-particularly in the asset management or index provider space. You'll act as a key partner to our index sales and relationship teams, using your expertise to translate complex index methodologies into actionable insights for institutional clients. Your contributions will span everything from backtesting and strategic advisory to market development and client engagement. You'll be at the forefront of Bloomberg's expanding equity index business, playing a pivotal role in shaping our product strategy and delivering meaningful solutions to leading financial institutions. This is an opportunity to blend technical depth, commercial savvy, and industry influence in a role with real impact. We'll trust you to: Lead client engagement by delivering impactful presentations, running custombacktests, and articulating index methodologies clearly to investment professionals. Drive commercial outcomes byidentifyingopportunities to grow market share across traditional, ESG, factor-based, andcustomequity indices. Support strategic product development by feeding client insights back to product, research, and engineering teams. Strengthen market visibility of Bloomberg's equity index capabilities through external meetings, thought leadership, and go-to-market initiatives. Build lasting partnerships with keyclientsatasset managers, pension funds, and other institutional investors. Contribute to strategic planning, including market sizing, competitive analysis, and post-launch product growth. You'll need to have: 7+ years of experience inthe equityspace;this could beequity research, portfolio management, index strategy, or institutional sales A strong grasp of equity index construction, methodologies, and their role in portfolio design A proventrack recordin business development, client advisory,orrevenue generation Excellent presentation and interpersonal skills with the ability to simplify technical concepts Commercial drive with the ability to manage pipelines and meet ambitious growth targets CFA or equivalent is anadvantage High-levelproficiencyin data analysis; experience withbacktestingor index analytics tools is a plus Willingness to travel and engage with clients across regions Fluency in English;additionallanguages are a bonus If this sounds like you: Apply if you think we're a good match! We'll get in touch with you to let you know the next steps but in the meantime feel free to browse this: If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Global IT Helpdesk Manager Department: Tech - IT Employment Type: Permanent - Full Time Location: Oxford, UK Description We are excited to offer an exciting new opportunity for an experienced IT Site Support (Deskside Support) Manager to lead our global team of site/deskside support agents. This role is central to Aurora's IT support strategy, ensuring seamless global operations and delivering measurable outcomes, including improved service delivery, reduced incident recurrence, and high customer satisfaction. As the IT Site Support Manager, you will inspire and develop a high performing team of skilled analysts and third party providers, fostering a dynamic and customer focused IT culture committed to excellence. You will oversee the resolution of local IT issues ensuring support requests are resolved within agreed Service Level Agreements (SLAs) to minimise business disruption. Additionally, you will manage the full lifecycle of end user devices and IT assets, from onboarding to decommissioning, while ensuring compliance with security, performance, and lifecycle standards. A champion of Continual Service Improvement, you will refine internal processes and escalation procedures to enhance operational efficiency and service quality. Your leadership will be critical in delivering measurable outcomes, including improved service delivery and operational efficiency, while making a meaningful impact on the end user experience. If you are a proactive leader with a passion for technology and delivering exceptional support, we'd love to hear from you! Key Responsibilities Leadership and Team Management: Lead and mentor the Global Site Support team, fostering a collaborative and high performance culture Develop team capabilities through training, coaching, and performance feedback to ensure high quality support delivery Operational Oversight: Ensure the timely resolution of site support tickets in compliance with Service Level Agreements (SLAs) Monitor and prioritise ticket queues to minimise user downtime and improve service efficiency Manage third party vendors to deliver a cost effective and seamless global on site support service, ensuring compliance with Aurora's SLAs and quality standards Device and Endpoint Management: Oversee the full lifecycle management of end user devices, including procurement, configuration, patching, security compliance, and decommissioning Own and manage the end user tech refresh lifecycle, from planning and procurement to deployment and decommissioning Implement and enforce consistent policies for endpoint management and proactive device monitoring Conduct periodic device standards assessments to ensure alignment with business needs Oversee the full lifecycle management of AV devices, including procurement, installation, configuration, and patching IT Asset Management: Maintain the accuracy and integrity of IT Assets within the Asset Management system. Ensure all assets are tracked and updated throughout their lifecycle Problem Management: Support problem management processes by conducting root cause analysis and implementing permanent solutions to prevent recurring incidents Knowledge Management: Enhance the IT Support Knowledge Base, ensuring content is accurate, up to date, and accessible for both IT staff and end users Performance Monitoring and Reporting: Track and report on SLA and KPI performance, identifying trends and opportunities for service improvement Provide insights and recommendations to improve service reliability and operational efficiency Skills, Knowledge and Expertise Required attributes: Leadership and Team Management: Proven ability to lead, coach, and develop a global team, promoting a positive work environment and managing performance effectively Technical Expertise: Strong understanding of IT support principles, including hardware/software troubleshooting, AV equipment, endpoint management, and IT asset lifecycle management. Experience with common Office 365 productivity tools and collaboration platforms Customer Centric Mindset: A commitment to delivering exceptional end user experiences and fostering a customer focused support culture Proactive Mindset: Self motivated, with a demonstrated ability to anticipate challenges, identify opportunities, and take the initiative to improve processes and outcomes Service Management: Familiarity with ITIL processes and service management best practices Collaboration and Stakeholder Engagement: Strong ability to build relationships with internal teams, third party vendors, and stakeholders, ensuring alignment with business goals Problem Solving Skills: Ability to analyse complex issues, prioritise tasks, and implement solutions efficiently Adaptability: Resilient in handling change and adept at navigating a global support environment with diverse requirements and constraints Process Oriented Mindset: Experience creating and enforcing standard operating procedures to maintain a consistent service level Desirable attributes: Attention to Detail: High standards for accuracy and quality, particularly in managing IT assets, processes, and reporting Project Management Experience: Familiarity with project management principles to assist with cross functional initiatives and process improvement projects Knowledge Management: Experience in maintaining an up to date knowledge base and ensuring information is accessible and clear for service desk personnel Continuous Improvement Mindset: Experience in driving continuous improvement and embracing best practices in IT operations and service delivery Data Driven Approach: Ability to analyse service desk data and metrics to identify trends, assess performance, and make data driven decisions Security Awareness: Awareness of IT security principles and best practices, with experience ensuring compliance with security standards and protocols What we offer Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.

We're looking for a Data Analyst / Engineer to join Magentic's Forward Deployed Engineering team. You'll be embedded at a critical point - working directly with customers during pilots and onboarding, turning complex, messy data into the insights that make our AI procurement solution sing. This isn't a build-dashboards-on-request role. You'll be working on real problems with real stakes, using modern data tooling - including LLMs - to move fast without sacrificing rigour. You'll be joining a small but exceptional team with backgrounds from Revolut, OpenAI, Meta, NASA and McKinsey. We're backed by Sequoia Capital and chasing a $3tn market opportunity. What You'll Do Partner with Forward Deployed Engineers to design and execute complex analyses during customer pilots and onboarding Turn ambiguous, real-world data into clear, actionable outputs for both technical and commercial audiences Use LLM-based techniques as a native part of your analysis workflow - not as a curiosity, but as a tool Work with data platform tooling built by our data platform team; potential to grow into building platform components yourself Communicate findings clearly to engineers and business stakeholders alike You Might Be a Great Fit if You Have 2+ years of experience in a data analyst, data engineer, or BI engineer role Are fluent in Python and SQL Have hands-on experience integrating LLM-based steps into a data analysis or pipeline workflow Can work with messy, real-world data and still ship something clean and useful Are a strong communicator with commercial understanding - you're comfortable explaining what you found and why it matters Thrive in fast-paced environments where speed and quality both matter Bonus Points Experience with dbt or similar SQL-based transformation tools Familiarity with cloud data storage (Azure Blob Storage, S3, or GCS) Experience building or contributing to data platform infrastructure Familiarity with a data orchestration tool (Dagster, Airflow, Prefect, or similar) Familiarity with supply-chain, procurement, or manufacturing domains. Compensation and Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: Competitive Equity: play a real part in Magentic's upside A salary of £60-70k Enhanced parental leave 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown In-office lunches provided Salary sacrifice pension and nursery schemes Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc) Annual team retreat-a fully-funded off-site to recharge, bond, and build Our Interview Process We can move quickly through these stages, so let us know if you have any timelines we need to meet. Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role. Paired-programming interview (45 mins): in this step, we'll ask you to present some of your work to us and discuss it. In-person interview: for the final step, we invite you to come meet the team in-person. We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, founder interview and a presentation task and a discussion of your work with the team. Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.

Asset Management, Technology - Data Scientist The Data Science, Analytics and AI group within Macquarie Asset Management aspires to create a data driven decision making culture and support business growth by advancing our capabilities in analytics and AI. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? You will tackle complex challenges using advanced analytics and agentic AI. Leveraging state of the art AI techniques, you will deliver transformative business impact across our private market investment divisions, including Real Assets, Real Estate, and Credit and Insurance. Example challenges include automating data extraction from unstructured investment documents, building AI agents to streamline portfolio company analysis, creating intelligent systems to support deal screening workflows, and developing tools that augment analyst productivity across asset classes. What you offer 4+ years' experience in Data Science, working for a financial institution and ideally supporting across one or more private asset classes Highly proficient in Python or R, a deep understanding of cloud infrastructure, and hands on experience building and deploying agentic AI workflows Experience with Anthropic Claude API or Google Gemini API strongly preferred and familiarity with Atlassian tools and scrum methodology is advantageous Excellent communication skills, able to translate business requirements into technical solutions and clearly articulate ML and AI approaches to a diverse range of stakeholders Able to thrive within a collaborative, multi disciplinary, cross functional agile scrum team, working alongside engineers, product owners and business stakeholders to deliver complex AI solutions We love hearing from anyone inspired to build a better future with us. If you're excited about the role or working at Macquarie, we encourage you to apply. What we offer At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year and a minimum of 25 days of annual leave. 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers Paid fertility leave for those undergoing or supporting fertility treatment 2 days of paid volunteer leave and donation matching Access to a wide range of salary sacrificing options Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Access to company funded emergency and backup dependent care services Recognition and service awards Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Macquarie Asset Management Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk adjusted returns. All figures as at 31 September 2025, excluding assets acquired by Nomura on 1 December 2025. Our commitment to diversity, equity and inclusion We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

# Customer Support Advisor Customer Operations Customer Support AdvisorLocation: Sheffield City Centre Hours: Full-time (37 hrs - Mon-Thu 9-5.30, Fri 9-5) Salary: £25,878 Start date: Tuesday 5th May 2025We understand. Being a UniHomes Customer Support Advisor is different. NO sales, NO shift work, and NO regular weekends. We embrace hybrid and remote work, meaning you can flex between our state-of-the-art Sheffield city centre office (with free breakfast and Friday drinks at 4.30!) and the comfort of your own home office. The role will be predominantly working from home but with occasional office presence required, therefore you must be based locally and be willing and able to travel to the Sheffield office when required. We're looking for additional Customer Support Advisors to grow our incredible team. In this role, you'll be the friendly voice of UniHomes, providing exceptional support to students through phone, email, and messaging. You'll become a problem-solving pro, resolving queries, and offering clear explanations about our shared utility contracts (gas, electricity, water, broadband, and TV License). Your focus will be on ensuring a smooth and hassle-free experience for students, proactively addressing their needs, and aiming for first-contact resolution whenever possible. Collaboration is key, so you'll work alongside internal stakeholders to achieve successful outcomes. This is a non-sales role, allowing you to focus on what you do best: providing exceptional service and making a positive impact on students' lives. Peak Season: During July-September, additional hours (max 6 hours per week, including weekends) may be required. We compensate with overtime or time off in lieu. The role will be predominantly working from home but with some office presence required, therefore you must be based within a reasonable commute to Sheffield and be willing and able to travel to the office to work when required. What you'll do: Own customer queries, aiming for first-contact resolution. Gather accurate customer data to support internal teams. Assist all customers professionally and politely. Collaborate with internal/external stakeholders for successful resolutions. Deliver excellent customer support consistently. Meet personal and departmental KPIs for quality and volume of calls, messages, and email. Utilise CRM systems to manage contacts. Support all areas to ensure an industry-leading customer experience. What you'll bring: Fantastic customer support skills developed in a contact centre environment, retail, service, or hospitality sector. High volume phone & CRM system experience (ideally Salesforce, desirable but not essential). Superb phone manner and excellent written communication skills. Patience, confidence, diplomacy, resilience, open-mindedness, and empathy. Ability to stay calm under pressure, think quickly and independently. Ability in following processes and structuring questions. Genuine desire to solve problems and help others. Computer literacy (Microsoft Office) and tech confidence. Team player spirit, self-motivation, dedication, and focus. Hybrid team members will need to ensure they have a safe working from home environment, which includes: A quiet and distraction-free environment to be able to provide industry leading customer support. Appropriate chair and desk. Suitable internet connection, with minimum downloads speed of 30Mbps. Flexibility to support our customers over our busiest periods. We'll provide IT equipment, including laptop, monitor and headset.At UniHomes, we're on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We're not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we've experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work(R) certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we're driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you're ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that's opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: Lead the Way In it Together Customers Matter Keep it Simple Rise Above Challenges Make it Happen With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work(R)(GPTW(R) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage.Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events.At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you.Applicants for permanent roles must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Please show us the real you.We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.Salary Salary: £25,878 - £25,878Type Full TimeLocation Sheffield This site requires JavaScript to be enabled. JavaScript is used on this site to improve user experience and enable functionality without JavaScript this site wont work as required Once JavaScript is enabled, this message will be removed.

Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you're buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That's why the world's most transformative organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We're consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company's Most Innovative Workplaces. Ironclad has also been named to Forbes' AI 50 and Business Insider's list of Companies to Bet Your Career On. We're backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit or follow us on LinkedIn. Implementation Managers work with our largest, most complex customer implementations. They work closely with Ironclad Legal Engineers in the design and implementation of Ironclad's core product - automated workflows for contracting - which shape the way our customers handle contracts and do business across their organization. Implementation Managers oversee the entirety of the project including identifying project resources, tracking progress against success metrics, managing delivery risks and keeping stakeholders informed. As an Implementation Manager you are responsible for project success and will drive the high level strategy that enables our customers to have a smooth transition to Ironclad. Implementation Managers are customer centric, master influencers, and technologically fluent. They know how to get the right people and resources in the room to deliver. In addition to impacting customers through project oversight, we are looking for a strategic thinker who is interested in improving processes and pursuing initiatives to help our team continually grow and provide the best services to customers. This is a hybrid role based out of our London office. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Candidates must have the unrestricted right to work in the United Kingdom. What You Will Be Doing: Manage a portfolio of multiple projects at a time. This includes overseeing project deliverables and proactively identifying risks Serve as the primary project escalation point of contact Ensure alignment across all teams, internal and external Build, maintain, and track project timelines in order to deliver on time and in scope deployments Collaborate with Legal Engineers and Customers Success Managers to ensure a smooth and successful customer experience from kick off to go live Contribute to our scale efforts by improving our project management and delivery operations processes and contributing to our best practices What We're Looking For: 7+ years as a customer facing project manager, technical program manager, or management consultant. Experience running complex technical projects, specifically including agile sprint planning, user acceptance testing, quality assurance and software release processes. You are a persuasive, results driven customer influencer with outstanding interpersonal skills. You're an exceptional verbal and written communicator. You are able to partner effectively with C Suite, VP, and Director level contacts, along with day to day users of the software. You are a team player who can work effectively in teams of technical and non technical individuals. You are skilled at collaborating with diverse teams. You can learn and drive outcomes with minimal supervision. You have a bias towards action, and gravitate towards environments where you have outsized influence on the success of outcomes for customers and colleagues. Base Salary Range: £90,000 - £102,000 The base salary range represents the minimum and maximum of the salary range for this position based out of our London office. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad's competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. UK Employee Benefits at Ironclad: Private Medical & Dental insurance, covered at 100% for you and dependents Life assurance and Income Protection Generous leave policies, including parental leave, medical leave, and compassionate leave Family-forming support through Maven for you and your partner Monthly stipends for wellbeing, hybrid work, and (if applicable) phone use Standard pension contribution scheme Regular team events to connect, recharge, and have fun And most importantly: the opportunity to help build the company you want to work at US Full-Time Employee Benefits at Ironclad: 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available Market leading leave policies, including gender neutral parental leave and compassionate leave Family forming support through Maven for you and your partner Paid time off - take the time you need, when you need it Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use Mental health support through Modern Health, including therapy, coaching, and digital tools Pre tax commuter benefits (US Employees) 401(k) plan with Fidelity with employer match (US Employees) Regular team events to connect, recharge, and have fun And most importantly: the opportunity to help build the company you want to work at UK Employee specific benefits are included on our UK job postings Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

DistributorChannel Development Manager - A strategic global role shaping thefuture of our distribution ecosystem Location: Cheltenham, Gloucestershire (hybrid working) We're looking for a Distributor Channel Development Manager to help shape how we partner, grow, and deliver value through our global Steam Thermal Solutions distribution network. This is a high impact role for someone who enjoys setting strategy, enabling teams, and driving consistent execution across regions. You'll work in a global, matrix environment with senior stakeholders across commercial, marketing, pricing, and operations to build capability, improve consistency, and deliver measurable commercial impact through partners. Why join us? Lead and embed a global distributor strategy with high visibility across regions and senior leadership. Build scalable programmes that strengthen partner capability and improve commercial performance. Work cross functionally to align tools, processes and governance for a consistent partner experience. Develop expertise in partner strategy, commercial programmes, change leadership, and global governance. Influence both short term results and long term, sustainable growth through a high performing partner ecosystem. What you'll do: Leading and embedding our global distribution strategy - Drive the rollout of our tiered partner approach and value propositions, providing clarity on priorities, governance, and change management. Building capability and consistency across OpCos - Enable regional channel teams and partners with the tools, processes and resources they need to deliver commercial impact and a consistent partner experience. Drive partner enablement programmes - Lead initiatives that strengthen partner performance across pricing, marketing, contracts, CRM usage, performance management tools, and best practice sharing. Owning global channel governance - Set & maintain partner standards, contract compliance, data quality and conflict management are managed consistently worldwide. Success will look like: Sustained sales and volume growth through distributor and partner channels. Improved market coverage and clear identification of growth opportunities (including white space). Higher partner engagement, retention, and performance against agreed plans. Improved partner feedback and a consistent end to end partner experience globally About you (skills and experience) Experience managing and developing distributors, partners, agents, or indirect channels (ideally across multiple regions). Proven track record delivering commercial or strategic programmes and driving adoption across teams. Strong collaboration skills with the ability to influence without direct authority in a matrix environment. A global mindset and a passion for building capability and improving ways of working. Confidence using CRM and data insights to inform decisions, prioritise opportunities, and measure performance. Excellent communication, relationship building, and stakeholder management skills. This role has no direct reports and succeeds through strong cross functional leadership and influence with regional channel managers. International travel will be required. We are an equal opportunity employer and welcome applications from all qualified candidates. How to apply Apply via LinkedIn using the "Apply" button on this posting. Please include your CV/resume and a short summary of your experience with distributor/partner channels and global programme delivery. The Steam Thermal Solutions business is one of three businesses within Spirax Group. Spirax Sarco and Gestra, are our two brands that form Steam Thermal Solutions and are global leaders in the supply of engineered solutions for the design, provision and maintenance of efficient industrial and commercial steam systems. Steam Thermal Solutions has global coverage across 67 operating units (called OpCos), organised into four Divisions: EMEA, APAC, Americas, Gestra. Spirax Group is a FTSE100 and FTSE4Good multi-national industrial engineering Group with expertise in the control and management of steam, electric thermal solutions, peristaltic pumping and associated fluid technologies. Our Purpose is to create sustainable value for all our stakeholders as we engineer a more efficient, safer and sustainable world. Our technologies play an essential role in critical industrial processes and industrial equipment across industries as diverse as Food & Beverage, Pharmaceutical & Biotechnology, Power Generation, Semiconductors and Healthcare. With customers in 165 countries, we provide the solutions that sit behind the production of many items used in daily life, from baked beans to mobile phones! Our Purpose, supported by our inclusive culture and Values, unites us, guides our decisions and inspires us everywhere that we operate. We support our colleagues to make their difference for each other as well as customers, communities, suppliers, our planet and shareholders by creating a truly equitable working environment where everyone feels included. Benefits You will receive a competitive salary (and a discretionary bonus), flexible working and excellent benefits including 27 days holiday allowance (before bank holidays), 3 days' paid volunteering leave, comprehensive private healthcare, enhanced pension plan, life assurance, optional participation in a Share Ownership Plan, free onsite parking, flexible benefits, and access to a personal discounts' portal. We also offer a range of additional support and benefits through our Everyone is Included Group Inclusion Plan, detailed below. Everyone is Included at Spirax Group We are passionate about creating inclusive and equitable working cultures where everyone can be themselves and achieve their full potential. For us, that means supportive teams and strong relationships where everyone's contribution is valued - across social and cultural backgrounds, ethnicities, ages, genders, gender identities, abilities, neurodiversity, sexual orientation, religious beliefs, and everything else that makes us human and unique. We want everyone to be able to make their difference here, so we will always consider requests for flexible working. We know that everyone needs some extra help from time to time too, so we have introduced a range of additional benefits through our Group Inclusion Commitments. These include gender-neutral parental leave, 15 days of extra paid caregiver leave, paid time off and support for anyone experiencing pregnancy loss or domestic abuse, menopause-friendly workplace principles and more. Learn more at We are also a Disability Confident Committed Employer. If you would like to apply using this scheme, please select this option in our application form or notify our recruitment partners.

Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We're building a platform that uses gamification and social mechanics to make learning fun. With over 1.7 million monthly active users and $5M in annual recurring revenue, we're already one of the fastest-growing startups in the UK. Backed by leading investors, we recently raised $22M in Series A funding to accelerate our vision of helping 1 billion people learn. The Role We're hiring an experienced/staff-level Product Engineer (AI-focused) to build and scale the core intelligence behind Gizmo. Reporting to the CEO and Co-Founder, you'll work across our TypeScript codebase to ship AI-powered features used daily by thousands of students, including study material generation, quizzes, automated marking and content ingestion. This is not an ML research role. It is a hands on product engineering position focused on designing and improving production AI systems with real user impact. If you want to build AI that sits at the heart of a product and see your work make a tangible difference at scale, this role offers genuine impact. What You Will Be Doing Building AI-Powered Product Features You will operate as a full product engineer, owning AI features end to end: Design and ship AI-driven user facing features in our TypeScript stack Take ownership of AI features from idea through to production and iteration Collaborate closely with design and product to solve real learning problems with end to end AI solutions Write clean, maintainable, production ready code Contribute to architectural decisions across backend and AI systems Improve the user experience around AI outputs, including feedback loops and refinement flows Owning and Improving Production AI Systems You will take responsibility for AI systems that are already live and used daily. These include: Study material content generation Quiz question generation Automated marking and feedback Structured content ingestion pipelines You will: Optimise production AI pipelines Design and iterate on prompts, including agentic prompt engineering and multi step workflows Build structured model pipelines rather than simple single call integrations Integrate model improvements directly into our TypeScript backend Create novel AI powered systems to solve new product challenges Prototype and productionise new model driven capabilities Designing Evaluation and Quality Frameworks You will: Define what great looks like across different AI use cases Design internal evaluation frameworks Develop clear metrics for quality, correctness and usefulness Evaluate multi step and agentic workflows for robustness Run structured experiments to drive systematic improvement Build internal tooling to support iteration and experimentation Ensuring Reliability at Scale You will: Monitor model behaviour and system health Handle API rate limits and third party outages Improve resilience, retries and fallback logic Design robust model calling infrastructure Ensure AI features remain stable and performant under scale Qualifications 8+ years of software engineering experience Strong expertise in TypeScript is preferred; however, we would also consider candidates with strong JavaScript experience Degree in Machine Learning, Artificial Intelligence, or a related quantitative discipline; alternatively, demonstrable hands on experience evaluating AI models and prompts in a production environment Experience building and maintaining production systems Experience shipping user facing product features Experience designing structured or agentic prompt workflows Ability to define and implement evaluation metrics for AI driven features Clear communicator who can collaborate with technical and non technical stakeholders Strong product instincts and a focus on impact Nice to Have Previous start up or founder experience Experience building internal tooling for experimentation and evaluation Benefits Highly competitive salary You'll own a piece of what you're building - equity included Hybrid and flexible working model with 4 days in our Shoreditch, London office Private health insurance Enhanced parental leave The opportunity to become one of the earliest employees in one of the UK's fastest growing startups

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the Team B2B is Expedia Group's business-to-business division, bringing innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more. Activities Supply The Activities Supply team partners with attractions, tour operators, and activity providers globally to build and expand our B2B activities portfolio. We develop innovative product solutions that enable our partners to seamlessly access and distribute diverse travel experiences-from museum tickets to adventure tours-creating value for both suppliers and our B2B customers. This role will lead product strategy to enhance supplier onboarding, inventory management, and content optimization while leveraging AI/ML capabilities to scale our supply ecosystem. In this role, you will: Define and communicate a compelling product vision and strategic roadmap that connects business outcomes, KPIs, and delivery milestones Lead AI/ML implementation initiatives, collaborating with technical teams to evaluate feasibility and tradeoffs for new product solutions Participate in engineering design and architecture reviews to enable long-term product vision while minimizing technical debt Identify and size product opportunities through financial modeling; make data-informed decisions in ambiguous conditions that create profitability Develop go to market strategies in partnership with internal teams (Product Marketing, Sales, Communications) to ensure adoption and value delivery Optimize end to end user journeys through iterative experimentation, win loss analysis, and advanced research methodologies Guide cross functional teams in tradeoff discussions to balance customer needs with financial viability Set and own product metrics aligned with product vision; hold yourself and your team accountable for performance Mentor junior product managers to build credibility, influence technical decisions, and develop product expertise Facilitate milestone and release planning for complex, cross functional projects while proactively mitigating risks Build influential stakeholder relationships across product teams and functions to create alignment and successful outcomes Experience and Qualifications Required: Bachelor's degree in relevant field or related technical field; or equivalent related professional experience 8+ years of product management experience (or 6+ years with a Master's degree) Proficient communication, facilitation, and presentation skills, including experience presenting to executive audiences Experience applying agile practices, data science principles, and the scientific method to product development Demonstrated ability to create strategic product roadmaps and translate technical requirements across teams Experience with AI/ML product solutions and data analysis Preferred: Advanced degree (Master's or higher) in relevant technical field Experience in B2B travel technology, marketplace products, or supply management Proven track record coaching and mentoring product management teams Background in activities, tours, attractions, or similar content driven supply businesses Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.