56 jobs found

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications We are seeking a Customer Contact Technology Specialist at Principal Consultant level to lead technology-driven transformation in customer contact environments. We are specifically looking for someone who can develop Customer contact strategy where technology is an enabler. This role combines deep expertise in Contact Centre technology, AI innovation, and consulting delivery to help clients modernise and optimise their customer engagement strategies. Core Responsibilities: Work with strategic technology partners and alliances to identify opportunities for AI-based services tailored to contact centre use cases. Shape joint propositions and support go-to-market initiatives with partners. Product Ownership Take ownership of the development and roadmap for KAIWA, our AI coaching and analytics solution. Support sales enablement, client demos, and delivery of KAIWA engagements. Support development of business cases and options for clients. Technology Change Leadership Act as a subject matter expert in technology-based change for customer contact, preferably within Financial Services (FS) or Public Sector (PS). Advise clients on business readiness, change management, and operational impact of new technologies. CCaaS Platform Expertise Lead or support rollouts of new CCaaS platforms (e.g., Five9, Genesys, NICE CXone). Deliver overlay consulting services including business readiness assessments, change management plans, and operational transition support. Shape and deliver CRM transformation programmes integrated with contact centre technology. Ensure alignment between CRM and CCaaS platforms for seamless customer experience. Thought Leadership & Advisory Develop frameworks, best practices, and accelerators for AI adoption in contact centres. Contribute to industry thought leadership through blogs, webinars, and client workshops. Qualifications Essential requirements Proven experience delivering t echnology transformation in contact centres, including AI and CCaaS deployments. Strong understanding of customer experience operations, contact centre KPIs, and digital engagement strategies. Expertise in business readiness, change management, and stakeholder engagement for technology rollouts. Familiarity with AI/GenAI applications for customer contact (e.g., knowledge management, agent assist, conversational AI). Confident with Data analysis and shaping benefits cases Experience shaping and delivering CRM programmes integrated with contact centre technology. Experience working with Financial Services or Public Sector clients preferred. Ability to collaborate with alliances and technology vendors to shape joint propositions. Preferably an Operational Practitioner who has transitioned into a consulting role so combines Operational experience with Consulting disciplines Knowledge of compliance and best practices in AI for CX. Experience in developing SaaS products or IP for contact centre environments. Consulting background with strong client-facing skills and commercial acumen, coupled with operational experience. Ability to deliver general consulting engagements. Strong internal and external networking skills. A recognised contributor to Industry thought leadership. Experience with CRM deployments would be advantageous. Be a recognised leader in the Customer contact field experienced with influencing at C-level. Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Apply service design mindset and methods-research, synthesis, mapping, modelling, prototyping-based on what the context needs Plan and run interviews, workshops and desk research to build a clear picture of users, operations and constraints Turn complexity into clear insights and practical opportunities Co create future service options with stakeholders; facilitate alignment and decision making Choose the right level of fidelity to communicate how services work-from simple visually compelling design led narratives to detailed process models Test concepts through lightweight pilots, simulations or behavioural experiments. Use AI tools (e.g., Copilot, Miro, ChatGPT, Claude, agentic workflows, and other generative tooling) to accelerate sensemaking and option exploration Present implications and recommendations in straightforward, actionable terms for senior stakeholders Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. A systems oriented thinker who treats service design as a way of thinking, not a set of deliverables Confident conducting research and synthesising evidence into direction Skilled at communicating across operations, policy, product and technology-both technically and creatively to inspire and Comfortable challenging assumptions constructively and proposing alternatives. Curious and already integrating AI into analysis, synthesis or modelling Adaptable across roles - researcher, facilitator, modeller, prototyper - based on need. Adapt the approach to the situation; avoid rigid frameworks Use AI intentionally to speed analysis and broaden scenario exploration Produce outputs that teams use to make decisions and deliver change Guide teams through ambiguity with structure and plain language Work well in multidisciplinary teams and as an IC when the project requires it Keep focus on outcomes: better decisions, better services, better experiences. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Competency interview (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on

About Beam At Beam, you get to do work that matters for the world. We're solving the world's toughest social problems with an incredible team, tech and AI. And we're growing fast It's not easy. Nothing worth doing ever is. Join a company at the forefront of social impact, driving first-of-its-kind positive change. You'll be part of a high-performance culture where you'll make a huge impact, rapidly progress your career, and truly enjoy your work. From top-tier coaching and personal development budgets to competitive salaries, we take care of everyone who works at Beam. We've already seen incredible growth from our Magic Notes product, helping case workers save over 8 hours of admin per week. From social workers and NHS clinicians to mental health practitioners and safeguarding specialists, over 50,000 frontline workers across the UK are now using Magic Notes regularly to deliver faster, more human-centred support. We're also launching globally, helping practitioners across the USA, EU, and Australia make a difference. About the role As a Prompt Engineer at Beam, you'll be at the forefront of deploying our AI products into real-world environments where they can create meaningful social impact. Beam is transforming how social workers, clinicians and other practitioners operate, freeing them from time-consuming admin to focus on human-centred support. You'll play a critical part in scaling that impact, ensuring our products are intuitive, effective and deeply embedded in users' workflows as we expand across the UK and internationally. You'll have: We're looking for someone who combines technical curiosity with a strong user focus and a passion for social impact. You'll be: You'll work closely with frontline practitioners as well as internal teams to design, deploy and continuously improve AI-powered templates and workflows. Customer engagement & discovery Partner with frontline workers to understand their workflows, needs and challenges Run discovery and review sessions to gather insights and refine solutions Own customer usage, engagement and success metrics, ensuring strong outcomes and measurable impact Template development & optimisation Design, build and test high-quality AI prompt templates using a range of LLM providers alongside agents such as Claude Code and Cursor Continuously iterate based on user feedback, internal reviews and performance metrics Ensure outputs are accurate, compliant and tailored to real-world use cases Tooling, automation & innovation Improve internal tools, automations and processes to scale template delivery Prototype new ideas and features using AI coding tools Stay up to date with advancements in AI/LLMs and apply them to enhance product performance Cross-functional collaboration Work closely with Product, Engineering, Customer Success and Enablement teams Contribute insights to the product roadmap and identify opportunities for expansion and scaling Share learnings, document best practices and help refine team processes Data privacy & responsibility Maintain a strong focus on data privacy, security and ethical use of AI Ensure all solutions are designed with sensitivity to the vulnerable populations Beam serves You'll have We're looking for someone who combines technical curiosity with a strong user focus and a passion for social impact. Core attributes Strong interest in AI and prompt engineering, with a hands-on, experimental mindset User-centric thinker who can translate real-world needs into practical, high-quality solutions Creative problem-solver, able to diagnose issues and iterate quickly High attention to detail, especially when working with nuanced or sensitive data Ways of working Collaborative and comfortable working cross-functional with diverse teams Proactive and ownership-driven, with a focus on delivering measurable outcomes Adaptable and excited by fast-paced, evolving environments Strong growth mindset with a desire to continuously learn and improve Mission alignment Passion for social impact and improving outcomes for underserved communities Alignment with Beam's values: thoughtful, ambitious and deeply user-focused Nice to have Experience or exposure to care, healthcare, or social services environments Understanding of reporting requirements or workflows in frontline support settings About Beam Our team of 200+ embraces a hybrid working approach, enjoying 2-3 days of vibrant collaboration in our beautiful Shoreditch co-working space, fully equipped with rooftop views, an onsite barista and kitted out gym. We've picked up an armful of awards for our work, including one from our former Queen. We've also been named by WIRED as one of London's 10 hottest startups and by LinkedIn as a Top 15 UK Startup. Meanwhile, we've been covered in the media literally thousands of times, including The FT, BBC, TechCrunch, Forbes and The Guardian. We're also proud to be backed by some of the world's leading tech investors and entrepreneurs, including the founders of Calm, Shazam and Dropbox. Perks Generous EMI-qualifying share options Access to therapy, coaching, classes & content - powered by Oliva Your own financial well-being coach, through Bippit Generous Holiday - 25 days with 3 additional days over the Christmas period + bank holidays Work remotely up to 6 weeks a year Eligible for a 6-week sabbatical after 3 years in service Nursery scheme through Gogeta Healthcare cover through Benenden Health Enhanced parental leave: Primary Caregiver leave 18 weeks and Secondary Caregiver leave 4 weeks £200 WellBeam budget for activities enhancing wellbeing and professional development Annual membership to Shoreditch Exchange gym (London office only) Pension scheme where we contribute 3% of your salary and you contribute 5%. Free subscription to the Calm meditation app Discounted bike and accessories with Cyclescheme, and tech products with Techscheme Start your journey to a more impactful career today. We're excited to hear from you. Reasonable adjustments Beam is committed to fostering an inclusive, diverse, and supportive work environment for all employees. This policy extends to our hiring practices. We recognise that some candidates may need additional support during their hiring process to give them the best chance of being a success. To ensure that all candidates have an equitable opportunity during their process, we are committed to providing reasonable adjustments where required. If you require a reasonable adjustment to be made during your process, please let your Talent Partner know. We encourage you to share this information, but there is no obligation to do so. Please be reassured that any reasonable adjustment requests will not be taken into account when making a decision about your candidacy.

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

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.