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At AQA, we're committed to advancing education and we're committed to our people. As the largest provider of academic qualifications in the UK, we mark over 10 million exam papers each year and it's our people who make this happen. Salary and location Machine Learning Engineer (Education Research) Permanent Manchester: £34,000 - £36,900 / Milton Keynes: £35,400 - £38,400 Working Arrangements; Hybrid - two days per week in the office Introduction AQA is building its AI for assessment capability and is looking for a junior machine learning engineer who wants to apply AI and machine learning to meaningful educational challenges. This is a distinctive early-career opportunity to work across the full applied machine learning lifecycle: researching and testing new approaches, evaluating them rigorously, and helping turn successful prototypes into reliable capabilities that can be deployed within assessment products and services. You will join AQA's in-house AI for assessment lab and work alongside experienced AI researchers, software developers, product teams, psychometricians and assessment experts. You will receive support to develop both your research and engineering skills while contributing to work with real educational purpose. Purpose of the role You will contribute to the research, development and productionisation of AI capabilities for educational assessment. These may include automated marking, feedback generation, learner support, skill estimation, proficiency modelling and adaptive testing. The role combines applied research with practical engineering. You will help investigate and validate promising approaches, then work collaboratively with technical and product colleagues to turn successful research into reproducible, maintainable and deployable machine learning capabilities. Key responsibilities Design, develop and refine machine learning models and prototypes that support educational assessment, helping to translate assessment needs into practical AI solutions and providing evidence for future development decisions. Evaluate model performance against technical and assessment measures, including accuracy, fairness, bias, reliability and alignment with human marking standards, while ensuring methods and results are clearly documented and reproducible. Work collaboratively with AI researchers, developers, psychometricians and product teams to build, deploy and continuously improve machine learning solutions, developing robust engineering practices and end-to-end experience across the full AI lifecycle. What we are looking for Essential Strong Python skills, with practical experience using relevant data and machine learning libraries such as NumPy, Pandas and scikit-learn. Practical experience with at least one deep-learning framework, such as PyTorch or TensorFlow. A good foundation in machine learning, including supervised learning and model evaluation. A good understanding of the machine learning lifecycle, from data ingestion and cleaning through to model development and validation. An interest in education or educational assessment and motivation to apply technology in support of AQA's mission. Strong communication and collaboration skills, including the ability to explain technical ideas clearly and learn from colleagues across different disciplines. Desirable NLP knowledge or experience relevant to text-based assessment. Familiarity with NLP libraries or frameworks such as Hugging Face Transformers or spaCy. Experience of, or exposure to, building end-to-end machine learning systems, including deployment. Familiarity with software-engineering practices such as version control, testing, code review and technical documentation. Exposure to sequential modelling. Experience working with multimodal data, including data processing and synchronisation. What's in it for you This is an opportunity to build an applied AI career in an environment combining research, engineering and real educational purpose. Unlike many early-career research roles, you will have the opportunity to follow promising work beyond the prototype: learning how models are evaluated, engineered, integrated and deployed within real products and services. You will gain practical experience across the full machine learning lifecycle while working with experienced specialists in AI, software development, product development, psychometrics and educational assessment. Contribute to AI capabilities in areas such as automated marking, personalised feedback, item generation and learner support Develop practical experience of both applied ML research and production engineering Learn how responsible AI capabilities are tested, deployed, monitored and improved See how your work contributes to products and services used to address meaningful educational needs A 35 hour working week with flexible, hybrid working 25 days' annual leave (rising to 30), plus Christmas closure days Excellent pension (up to 11.5% employer contribution) etc Diversity and Inclusion Statement At AQA, we are committed to fostering a workplace that celebrates diversity and promotes equity and inclusion. We believe that a diverse team brings richer perspectives and drives better outcomes. Our ED&I strategy ensures that everyone-regardless of religion, ethnicity, gender identity or expression, age, disability, sexual orientation, or background-is valued, respected, and empowered to thrive. We actively promote inclusive language, avoid stereotypes, and strive for representation across all dimensions of diversity. We welcome applications from individuals of all backgrounds and lived experiences. Application Process To apply, please submit your CV through the AQA careers site. Applications close on Sunday 9 August 2026. Stage 1: a 30-minute Teams interview where you will talk through the shared project or artefact and discuss the technical decisions behind it. Stage 2: a face-to-face interview in Manchester or Milton Keynes, focused on your wider professional experience, collaboration style and motivation for educational assessment. Stage 2: a face-to-face interview in Manchester or Milton Keynes, focused on your wider professional experience, collaboration style and motivation for educational assessment. Recruitment We have a preferred supplier list (PSL) in place. Unsolicited CVs will be treated as a gift. We will not be subject to or liable under your terms and conditions for agency fees. Full Job Description Summary Accountable to the Head of AI for Assessment Innovation, the overall purpose of this role is to develop models and algorithms as required by new assessment products and services. The post holder will research and develop AI capabilities that can enable new assessment products, increase the breadth of assessment services on offer and help shape long-term tech innovation and solutions. They will ideate and develop proofs of concept and prototypes and ensure they are cutting-edge, relevant and fit-for-purpose.Research, development and evaluation of AI solutions for assessment are key enablers in a range of diversification, digitisation and customer programmes. The AI for Assessment Innovation team is AQA's in-house AI for assessment lab, providing services and solutions alongside and in collaboration with contractors and partners. The team's responsibilities are: Research and development of AI features for new products or as part of contracted services EdTech partnership support through targeted evaluations and testing of third-party AI tools Providing AI for assessment expertise to the whole AQA group and advancing AQA's knowledge and know-how The role sits within the AI for Assessment Innovations team, in the Assessment Research and Innovation business area. Reporting to the Head of AI for Assessment, the role collaborates with a team of AI researchers, developers and managers and will have line management responsibility for AI for Assessment apprentices. Activities: AI model development for assessmentDesign, build, and refine machine learning models that support educational assessment use cases, such as automated marking (e.g., essays, short answers), feedback generation and learner support, skill estimation, proficiency modelling, and adaptive testing. Select appropriate modelling approaches (e.g., NLP models, classical ML, or deep learning) based on pedagogical and product requirements. Conduct rigorous experimentation, including hyperparameter tuning and ablation studies, to improve model performance and fairness. Educational assessment researchWork with complex educational datasets (e.g., learner responses, interaction logs, assessment outcomes). Design evaluation frameworks that go beyond accuracy to include fairness and bias across learner groups, marking reliability and consistency, alignment with human marking standards and mark schemes Work closely with psychometricians, assessment experts and product teams to translate educational requirements into technical solutions. Incorporate domain knowledge (e.g., marking schemes, assessment objectives, curriculum standards) into model design. From prototype to operationalisationDevelop scalable pipelines for data processing, model training, validation, and deployment. Collaborate and support the teams responsible for integrating models into production systems Contribute to CI/CD workflows, model versioning, and reproducibility practices. Responsible AI and governanceIdentify, assess, and mitigate risks related to bias, fairness, and misuse in assessment AI systems . click apply for full job details

AlliedOffsets is a leading provider of data and technology solutions on the voluntary carbon markets. We have built the industry's first meta-registry of carbon offsetting projects, retirement transactions, corporate buyers, and intermediaries, in order to promote transparency and clarity for those looking to understand the carbon offsetting industry. Our data is used by some of the leading financial, academic, and professional services organizations in the world to analyze the market. Project developers also use our data to help new sustainable projects get off the ground, understand organizations to partner with, and create the right pricing structure for its offsets. Our mission is to make the carbon offsetting market more transparent, enabling more quality carbon offsetting projects from being launched, with more of the financial benefits flowing to the underlying communities that the projects operate in. Our products include subscription-based access to the database, bespoke client data gathering and visualization, and research reports for leading government and international development organizations. As our team grows, we are looking for a software engineer to come help us build on our success to date! The Role The role sits at the intersection of software developer and data scientist and gives you considerable responsibility and ownership of your path. At the core, it involves: Data engineering and analysis - extending the data pipeline which feeds our carbon market dashboard and bespoke analytics platform Developing the back-end code and infrastructure for the API - providing access to our offsets data to external clients Contributing to full stack projects, developing products both internally and for client - from web apps to visualize bespoke data requests, to more sophisticated apps that support the flow of alternative finance to emerging markets Responsibilities You will be working on the following: Extending and maintaining the codebase for the data pipeline which feeds into our carbon offsets database Data gathering, processing and analysis; researching and implementing ways to unlock data from new sources (public websites, APIs, .pdf reports, etc.) Building out the functionality of our public API: New features will include tighter integration with our data pipeline, and additional microservices to handle new client requests. Overseeing the implementation of security and DevOps best practices for the deployment of our products. Working closely with our researchers, clients and other developers to understand this fast-moving field. Setting the technical direction of the company moving forwards, in collaboration with senior management. Developing awesome products and tools for our clients: Examples include building bespoke data dashboards or custom clients to integrate with our API. We always have new and interesting projects that promote international development and sustainability! Technologies The current team works primarily with Python (for data engineering, analysis and back-end development) and JavaScript (for front end development). We are looking for a candidate with strong experience in Python, and knowledge of JavaScript is a definite plus. In terms of web frameworks, past projects have typically used some combination of Flask, Django and Vue. But ultimately we want to use the right tool for the job, and in this role you will have significant opportunities to shape our tech stack, moving forwards. Depending on the candidate's interests, there will be room to work with our other developers on the application of machine learning tools to extract and model data (e.g. PyTorch, TensorFlow). Minimum Qualifications We are looking for a candidate with at least 3 years of professional experience as a back end developer. Some flexibility on this is possible if you've worked on similar projects, either professionally or on sustained independent projects (if so, please share details in your application - links to github etc. are welcome where possible!) Significant experience with data engineering, or working on data-intensive back-end applications which involve cleaning and processing complex data. Experience maintaining, building and deploying rest APIs with frameworks like Flask, Django or FastAPI. A solid understanding of relational databases, and experience with or willingness to learn PostgreSQL. Solid experience of security best practices for developing and maintaining APIs, and potentially handling sensitive data. Solid DevOps experience with at least one modern cloud hosting platform that's appropriate for our products. (We typically use Heroku, but experience with AWS, GCP or others is very welcome.) Experience using Python libraries for data analysis, such as pandas, scikit, numpy, nltk, matplotlib, jupyter. Ability to communicate effectively on both technical and non-technical levels, and to cultivate a supportive environment for more junior developers. If you don't quite tick all of these boxes, but feel as though you would be a good fit for this role, feel free to get in touch and we'll be happy to discuss further. Preferred Qualifications Experience with Vue or other similar JavaScript framework Experience with simple NLP methods using Gensim and scikit-learn Knowledge of testing methodologies and an uncompromising ethic around automated testing Experience with microservices architecture Perks Coming on board in the early stages of a startup with tremendous growth potential Joining a small, agile team with flat hierarchy and freedom to shape the role Having considerable autonomy to work on side projects Budget toward new computer Flexible working or office in central London, when desired Competitive salary Workplace pension

SAS seeks a Linguistic Developer to join its NLP R&D team in Glasgow. You will develop advanced text analytics software and AI models across 33 languages, leveraging supervised, unsupervised, deep learning, and symbolic AI techniques. The role sits within Analytics, AI, and ML to deliver innovative software and language models. You'll collaborate with colleagues across support and testing and contribute to secure software development while applying linguistic expertise to real-world data.

About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. Key Responsibilities Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning solutions Optimise system performance, scalability, and security Implement CI/CD pipelines and ensure high code quality standards Work with cloud platforms to deploy AI-powered services Contribute to architecture decisions and technical roadmaps Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning solutions Optimise system performance, scalability, and security Implement CI/CD pipelines and ensure high code quality standards Work with cloud platforms to deploy AI-powered services Contribute to architecture decisions and technical roadmaps Required Qualifications Strong experience with Java 12+, Spring Boot, and microservices architecture Experience integrating AI/ML solutions into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling and infrastructure as code Exposure to Generative AI and large language models Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Cycle to Work and Electric Vehicle schemes Flexible Working Annual Away Days/Company Socials Diversity and Inclusion As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.

Senior NLP Engineer Job Description: Theta Lake is the only communication compliance vendor directly financially backed by the leaders in unified communications including funding by Zoom, Salesforce, RingCentral, and Cisco as well as Wells Fargo and tier 1 venture firms including Battery, Lightspeed, and Neotribe.Theta Lake is also the only vendor with a 5 out of 5 star and a 100% Would Recommend ratings for enterprise information archiving from customers via Gartner Peer Insights as well as the only vendor with patents for unified communication compliance and security. Theta Lake works with security focused and regulated organizations to solve their communication capture, archiving, proactive compliance risk detection, and surveillance needs. Read more: The Position As Senior NLP Engineer you'll be part of Theta Lake's Data Science team, building and improving the models and pipelines that turn messy, multi-modal communication into structured, reviewable signals. As a senior individual contributor with significant autonomy, you'll own the full lifecycle of your work, from data collection and modelling through prototyping, coding, and delivery to production. You'll apply both classical ML and modern LLMs to the problem and develop new methods to address it. You'll work closely with product, other engineering teams, and customer-facing teams to understand how risk detection actually gets used, and to make sure what you build solves real customer pains. Responsibilities: Own NLP problems end to end. Take detection and analysis problems from data collection and labelling through modelling, prototyping, and production delivery, and stay responsible for how they perform once they're live. Use LLMs in products and as leverage. Build them into customer-facing features, and use them to develop tooling and streamline how the team works. Build across the modality range. Work on the full pipeline that turns voice, video, images, and text into analyzable signals, including the OCR, speech-to-text, and preprocessing steps upstream of the models themselves. Operate at production scale. Build models and pipelines that run reliably and efficiently against very high volumes of communication data. Be a good colleague. Generous with your time and knowledge, open to being wrong, and easy to work alongside. Preferred Qualifications: Strong NLP background, with a track record of building and shipping models that made it to production and stayed there. Deep understanding of machine learning fundamentals. Hands-on experience with both classical ML and modern LLMs. Experience with noisy, real-world data. Solid software engineering fundamentals. Experience with software processes in a multi-developer environment: requirements, demos, source code control (git), defect tracking (jira), estimation and planning, build, test automation, CI/CD, etc. Fluency in Python and its ML/NLP ecosystem. Product sense and communication skills: you can work with non-technical stakeholders and make sound calls about what's worth building. A love of language and how people use it. You find the quirks of real human communication genuinely interesting, and you're the kind of person who notices how things are said, not just what's said. Bonus: experience in compliance, RegTech, finance, or another regulated domain. Fluency in other (human) languages. Full-time Remote - UK $120,000 - $180,000 + corporate bonus + equity + benefits Careers Recent Careers Full-time Remote - UK $120,000 - $180,000 + corporate bonus + equity + benefits Senior NLP Engineer As Senior NLP Engineer you'll be part of Theta Lake's Data Science team, building and improving the models and pipelin Explore more Full-time Remote - US; New York, Chicago, Denver, Atlanta, or Charlotte $130,000/year to $180,000/year + commission + equity + benefits Account Executive Theta Lake's multi-award-winning product suite provides patented compliance and security for modern collaboration pl Explore more Full-time Remote - ANZ; Sydney Senior Solutions Engineer (SE) - Proactive Compliance The Sr. Solutions Engineer (SE) - Proactive Compliance, works closely with the Pre-Sales teams to help drive sales a Explore more word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word mmMwWLliI0fiflO&1 mmMwWLliI0fiflO&1 mmMwWLliI0fiflO&1 mmMwWLliI0fiflO&1 mmMwWLliI0fiflO&1 mmMwWLliI0fiflO&1 mmMwWLliI0fiflO&1

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Role Purpose We're looking for a Senior Data Scientist (L5) to join our Product Data team collaborating with our Product Analysts to build deep understanding of how users engage with our AI-native products through conversation and interaction data. You will work at scale with unstructured text data - prompts, model outputs, user edits, feedback - to discover patterns that explain user behaviour and directly shape what we build next. The focus is on semantic analysis of conversations: understanding intent, identifying failure modes, detecting successful interaction patterns, and translating these insights into specific product improvements. This is hands on analytical work, not infrastructure-focused. We need someone who can analyse messy conversation data, discover non-obvious patterns, and connect those findings to product decisions that move the needle on adoption, retention, and cost efficiency. For exceptional candidates with track records of leading analytics in AI-driven environments, we are open to hiring at Principal level, where you would set the broader data science agenda and mentor the existing analytics team. What You'll Do Build product evaluation frameworks Define how we measure "good" for AI-native features beyond traditional funnels. Build semantic frameworks to categorise user intent, model behaviour, and interaction patterns - e.g., "What types of prompts succeed vs. fail? What causes users to retry? What signals indicate satisfaction?" Design feedback loops that connect prompts, model outputs, user behaviour, and downstream outcomes. Define, track, and own the metrics that leadership and product teams depend on for a shared, trustworthy view of what is working and what is not. Analyse user-AI interactions at scale Work with large conversation datasets to deeply analyse how users interact with AI features (prompts, edits, retries, acceptance, abandonment). Identify failure patterns, unnecessary iteration loops, and the characteristics of successful interactions. Build models that answer the questions dashboards cannot: what predicts a good user outcome, what drives failure, and where the highest-leverage improvements are. Shape the product roadmap Turn findings into specific, prioritised recommendations that feed directly into the product roadmap. Partner with Product and Engineering to evaluate iterations quickly and close the loop between insight and action. Run experiments end-to-end: design, instrument, analyse, and translate results into clear product decisions. Drive growth and financial metrics Link AI feature usage to activation, retention, expansion, and cost efficiency. Help answer questions like: Which interactions create durable value? Where are we over spending compute for low user impact? Build infrastructure and raise the bar Build pipelines, dashboards, and self-serve analytical tools that make insight accessible and trustworthy across the organisation. Mentor a team of product analysts, raising the technical bar and introducing new methods where they add real value. What We're Looking For Experience Significant experience (ideally 5+ years) in Data Science, Product Analytics, or a similar role with conversation, chat, or dialogue data at scale. You have actually analysed large volumes of user text (prompts, messages, feedback, reviews) to discover patterns that shaped product decisions. Experience working closely with Product and Engineering teams. Hands on experience working with AI/ML-driven products (LLMs, ranking, generation, recommendations). You have worked on these systems, not just alongside them. Skillset Strong applied modelling skills: regression, classification, clustering, survival analysis, or similar. You pick the method that fits the question, not the other way around. Deep expertise in experimentation design and statistical inference. You can design a valid experiment, choose the right test, and explain the results to a non-technical audience. Fluency in SQL and Python. Comfortable working with large, messy, high-dimensional interaction data and building reproducible analysis pipelines. Ability to design pragmatic evaluation metrics where ground truth is fuzzy. Familiarity with modern data stack tools: dbt, Snowflake, Hex, Omni, Looker, or similar. Clear communicator who can influence without authority. Nice to Have Experience with product analytics platforms (e.g. Amplitude, Mixpanel, or similar). Experience working with NLP, text analytics, or unstructured data at scale. Experience building semantic search, relevance scoring, or interaction-based evaluation systems. Familiarity with prompt analytics, embedding-based analysis, or clustering user behaviour. Track record of influencing product strategy at a senior level, not just delivering analyses. Experience mentoring or technically leading other analysts or data scientists. Our culture At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Benefits You will be compensated well with a generous salary and equity Flexible, remote-friendly role for team members working in UK/Europe You get 25 days of annual leave + local holidays Regular team offsites where you'll get to collaborate with the product & engineering team in person Work from home budget "Work from anywhere" up to 60 days per year Generous referral scheme of up to $10,000 USD for each successful referral

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models

Graduate Artificial Intelligence Engineer - 30K Location: East Midlands Industry: IT Salary: £25,000 - £30,000 per annum + training, bonus, gym Posted: 13/06/2017 Overview Artificial Intelligence career entry role focusing on AI, Deep Learning, NLP, Machine Learning. Skilled in C#, Python, Matlab and experience across mathematics or computer science backgrounds. Key Responsibilities Develop strategy models, accurately modeling the market. Develop models based on input parameters from multiple data systems. Use social media searches and GPS data pattern matching. Develop new pattern matching data analysis methods to review real time data and identify issues relative to plant or baseline models. Program in C#, Python and Matlab. Once fully trained, you will develop machine learning methods, systems and techniques with a focus on specific engineering projects. The position offers training and experience with the latest technologies in a highly dynamic environment. Salary and benefits: 25-30K base, pension, bonus, gym access and free parking. Location: Commute from Banbury, Oxford and Northampton. Candidates of all ages and backgrounds will be considered for this role.

Ascent People Ltd in East Midlands is seeking a Graduate Artificial Intelligence Engineer to begin an entry level career in AI, Deep Learning, NLP and ML. You will work with C#, Python and Matlab and build models across data systems, with on the job training and exposure to cutting edge technologies. Salary is £25,000-£30,000 per year plus training, bonus, gym access and free parking. Post start you will develop machine learning methods for engineering projects in a dynamic environment, with

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! Please note that this is not a live role. We are grateful for your enthusiasm and interest in Cohere and encourage you to submit your resume for future consideration. Should a suitable position become available, we will review your application and reach out to discuss potential opportunities. Why this role? Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in Toronto, London, Paris, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff, you will: Design, build and scale AI systems for serving our users. Research, implement, and experiment with ideas on our supercompute and data infrastructure. Learn from and work with the best researchers in the field. You may be a good fit if you have: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience writing kernels for GPUs using CUDA. Experience using large-scale distributed training strategies. Familiarity with autoregressive sequence models, such as Transformers. Bonus : paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is not an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn't line up exactly with your experience, we still encourage you to apply. We 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. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it does not limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Data Scientist Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Description Insurance isn't the first industry most data scientists think of when they imagine cutting-edge Artificial Intelligence (AI) work, but the incredibly rich data and nature of the business make it a great place to put cutting-edge AI to use. CFC's Data & AI team is building production agentic and ML systems that automate and inform complex underwriting decisions that drive real business outcomes - not demos, not proof-of-concepts sitting on a shelf. The team includes ML engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves over time. We are looking for a mid-level Data Scientist to join the team that owns business-critical, live solutions utilising Large Language Models (LLMs), such as an email ingestion/extraction solution and underwriting agents. This is not a pure research or offline-modelling role - when research is carried out and potential opportunities identified it is expected that you will work closely with ML engineers and software engineers to build this into a live system, where quality, reliability, and evaluation rigor directly affects the business. We expect that a successful candidate will be able to own the data science side of a production LLM system end-to-end: partnering with stakeholders to build early prototypes, designing evaluation frameworks, measuring agent quality, and turning ambiguous "is this good?" questions into repeatable, defensible metrics - while working closely with engineers to understand what it takes to take that work from prototype to live system. About the role Explore complex, high dimensional, real-world datasets to uncover insights that meaningfully improve underwriting decisions and system performance at scale. Partner directly with underwriting and business stakeholders to scope problems, assess feasibility, and build early prototypes (e.g. PoC agents, rapid evaluation of an LLM approach) before committing engineering investment. Stay involved from prototype through to production, working with ML/software engineers to harden, scale, and maintain what you've built as a key contributor to the codebase. Design and run evaluation frameworks for LLM-powered agent behaviour, including offline (golden datasets, regression suites) and online (production monitoring, A/B testing) evaluation. Build and maintain analytical pipelines - prompt design, calibration against human labels, bias/consistency checks, LLM-as-a-judge, and ongoing validation that the judge stays trustworthy as the underlying models change. Partner with ML engineers to design system nodes/components, translating data science findings into concrete engineering requirements. Define quality metrics for agent outputs (accuracy, hallucination rate, task completion, groundedness, latency/cost trade-offs) and track them over time. Work with software engineers on productionising evaluation and monitoring code: CI/CD integration, release gating, and operational readiness (alerting, dashboards, on-call awareness). Actively explore cutting-edge developments in AI and machine learning - with the space and support to experiment, prototype, and bring new techniques into production where they add value. Investigate how agentic systems behave in production - identifying edge cases, failure modes, and opportunities to make systems more robust and reliable. Prototype and iterate on features for AI/ML pipelines, taking ideas from early exploration through to measurable impact in production services. Document experiments, findings, and methodologies clearly so that insights are reproducible and decisions are traceable. About you We're looking for a curious and technically strong Data Scientist who is passionate about applying AI and machine learning to complex, real-world business challenges. You'll be equally comfortable analysing data, designing experiments, engaging with stakeholders and collaborating with engineers to deliver production solutions. You'll have: Experience working in Data Science, Applied Machine Learning, NLP or LLM-focused roles. Strong Python and SQL skills, with experience working in production codebases and collaborative engineering environments. Hands-on experience evaluating, deploying and monitoring machine learning or LLM-powered applications. A solid understanding of experimentation, model evaluation, A/B testing and performance measurement. Experience working with modern AI frameworks, agent architectures or retrieval-augmented generation (RAG) solutions. Knowledge of cloud-based AI platforms, ideally within Azure. An understanding of how AI and ML systems are operationalised, monitored and maintained in production. Strong communication skills and the ability to translate complex technical concepts into practical business outcomes. Confidence working directly with both technical and non-technical stakeholders to solve ambiguous problems. An ownership mindset, with the ability to work independently while contributing effectively within a cross-functional team. Nice to have Prior experience in a business-critical / high-uptime production environment Experience with Databricks Understanding of asynchronous programming, containerised deployments (Docker), and modern service architectures Hands-on experience with Infrastructure as Code, particularly Terraform Experience designing and building distributed, asynchronous microservices using message brokers (e.g., Azure Service Bus, pub/sub). Knowledge of the insurance domain Core Values Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. Challenge everything: We're never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better. Have fun, be good: Insurance is a serious business, but we don't take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! Please note that this is not a live role. We are grateful for your enthusiasm and interest in Cohere and encourage you to submit your resume for future consideration. Should a suitable position become available, we will review your application and reach out to discuss potential opportunities. Why this role? Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in Toronto, London, Paris, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff, you will: Design, build and scale AI systems for serving our users. Research, implement, and experiment with ideas on our supercompute and data infrastructure. Learn from and work with the best researchers in the field. You may be a good fit if you have: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience writing kernels for GPUs using CUDA. Experience using large-scale distributed training strategies. Familiarity with autoregressive sequence models, such as Transformers. Bonus : paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is not an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn't line up exactly with your experience, we still encourage you to apply. We 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. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it does not limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from email alias. If jobs are viewed on other sites then please verify these through our official careers page.

About Arondite Arondite enables organisations to wield autonomy, data and AI at scale. We equip operators with the foundational software to orchestrate their mix of platforms and capabilities, and then take mission-critical decisions faster than their adversaries. We exist to ensure the UK and its allies out-think, out-pace and out-adapt those who seek to threaten our values and way of life. Our technology is designed for deployment in the world's most austere environments, and is relied upon by the world's most demanding operators. We deploy alongside them, bringing our technical expertise wherever it is needed. You will join Arondite at a pivotal moment in the company's journey. We are ambitious, building for the long-term and backed by globally renowned investors including Index Ventures (Anthropic, Wiz, Figma, Revolut). Our company is being built by exceptional people; people who find high-tempo and challenging work engaging and exciting, and who consistently deliver outsized impact. You will collaborate with other brilliant minds to solve some of the world's hardest and most important problems. You will have ownership and autonomy from Day One. There is no corporate ladder at Arondite. We hire the best people and give them extremely high levels of autonomy; the sky is the limit for an individual with the right ambition. If you are motivated by our mission and if you want to be part of an outstanding team, then we want to hear from you. About the role Arondite is looking for AI Engineers to understand our customers' problems and implement solutions using AI. We want people who are excited about the opportunity to take ownership for building AI within a high-performance, mission-focused team. You will be involved in the creation of advanced agentic designs, engineering the harness required to deploy Large Language Models (LLMs) that are able to take actions within highly controlled and compliant environments. This is a unique application of agentics, pioneering how agentic AI can be safely and effectively leveraged in high-stakes scenarios. Depending on your expertise, you may also work in perception by applying state-of-the art object detection and multi-modal algorithms (such as CLIP and CLAP) across diverse, real-time sensor streams. To succeed, you must possess strong architectural intuition, deeply understanding the technical compromises inherent in model selection and able to identify the optimal agentic design pattern for specific tasks Your responsibilities will include: Building core agentic product features; researching, planning, refining, executing and maintaining Collaborating with other engineers to integrate AI into our enterprise software product Designing end to end AI solutions from the backend to user interface, and deploying them both in cloud environments and on premise. Inventing novel capabilities and optimising existing approaches whilst remaining aware of ethical implications of your engineering decisions Documenting and explaining your solutions to provide evidence of compliance with policies regarding the safe use of AI Building secure, robust solutions by adhering to coding standards throughout the development lifecycle Arondite aims to bring together individuals from diverse backgrounds and with different perspectives. We therefore don't expect people to have experience across every area of the requirements. Please apply even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field 1 year of experience developing agentic AI in production ready environments 3 years of relevant hands on experience with machine learning algorithms The ability to write clean and maintainable code in Python, Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms Ideally, you would also have: PhD in machine learning, or a related field Authored publications in top tier journals and conferences (e.g. NeurIPS, ICLR, ICML, EMNLP) Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance Experience working with AI in regulated environments Created and optimised state of the art AI models for resource constrained hardware Right to Work We require that all candidates have an existing Right to Work in the UK at the time of application. Security clearance We believe in working closely with defence customers. As a result, this role will require the individual to hold a clearance or be willing to undergo UK security vetting to Security Check (SC) or above. This normally requires having continuous residency in the UK for at least 5 years. Office vs Hybrid working We are focused on building a positive, collaborative engineering driven culture. We therefore believe in making the office a friendly, comfortable and fun place to be, and we try to work from the office where possible. Of course, there are times when it makes sense for you to work from home and that's OK. You may also need to travel to visit customers, depending on your role. But in general you should only apply to join Arondite if you're excited to come into the office and work in person by default. Application process Our interview process for this role is normally: CV submission with initial questions Introductory Teams call (30-45 mins) In person technical interview (1-2 hours) Final interview with one of Arondite's Founders (30 mins) Highly competitive base salary Generous equity in EMI share options in a well funded and growing startup 7% employer pension contribution Free meals in the office every day Private health and dental insurance, with opt in cover for dependents Cycle to work scheme Relocation support Access to any resources, equipment and training that you need to do your job in a world class way

Data Scientist Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Description Insurance isn't the first industry most data scientists think of when they imagine cutting-edge Artificial Intelligence (AI) work, but the incredibly rich data and nature of the business make it a great place to put cutting-edge AI to use. CFC's Data & AI team is building production agentic and ML systems that automate and inform complex underwriting decisions that drive real business outcomes - not demos, not proof-of-concepts sitting on a shelf. The team includes ML engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves over time. We are looking for a mid-level Data Scientist to join the team that owns business-critical, live solutions utilising Large Language Models (LLMs), such as an email ingestion/extraction solution and underwriting agents. This is not a pure research or offline-modelling role - when research is carried out and potential opportunities identified it is expected that you will work closely with ML engineers and software engineers to build this into a live system, where quality, reliability, and evaluation rigor directly affects the business. We expect that a successful candidate will be able to own the data science side of a production LLM system end-to-end: partnering with stakeholders to build early prototypes, designing evaluation frameworks, measuring agent quality, and turning ambiguous "is this good?" questions into repeatable, defensible metrics - while working closely with engineers to understand what it takes to take that work from prototype to live system. About the role Explore complex, high dimensional, real-world datasets to uncover insights that meaningfully improve underwriting decisions and system performance at scale. Partner directly with underwriting and business stakeholders to scope problems, assess feasibility, and build early prototypes (e.g. PoC agents, rapid evaluation of an LLM approach) before committing engineering investment. Stay involved from prototype through to production, working with ML/software engineers to harden, scale, and maintain what you've built as a key contributor to the codebase. Design and run evaluation frameworks for LLM-powered agent behaviour, including offline (golden datasets, regression suites) and online (production monitoring, A/B testing) evaluation. Build and maintain analytical pipelines - prompt design, calibration against human labels, bias/consistency checks, LLM-as-a-judge, and ongoing validation that the judge stays trustworthy as the underlying models change. Partner with ML engineers to design system nodes/components, translating data science findings into concrete engineering requirements. Define quality metrics for agent outputs (accuracy, hallucination rate, task completion, groundedness, latency/cost trade-offs) and track them over time. Work with software engineers on productionising evaluation and monitoring code: CI/CD integration, release gating, and operational readiness (alerting, dashboards, on-call awareness). Actively explore cutting-edge developments in AI and machine learning - with the space and support to experiment, prototype, and bring new techniques into production where they add value. Investigate how agentic systems behave in production - identifying edge cases, failure modes, and opportunities to make systems more robust and reliable. Prototype and iterate on features for AI/ML pipelines, taking ideas from early exploration through to measurable impact in production services. Document experiments, findings, and methodologies clearly so that insights are reproducible and decisions are traceable. About you We're looking for a curious and technically strong Data Scientist who is passionate about applying AI and machine learning to complex, real-world business challenges. You'll be equally comfortable analysing data, designing experiments, engaging with stakeholders and collaborating with engineers to deliver production solutions. You'll have: Experience working in Data Science, Applied Machine Learning, NLP or LLM-focused roles. Strong Python and SQL skills, with experience working in production codebases and collaborative engineering environments. Hands-on experience evaluating, deploying and monitoring machine learning or LLM-powered applications. A solid understanding of experimentation, model evaluation, A/B testing and performance measurement. Experience working with modern AI frameworks, agent architectures or retrieval-augmented generation (RAG) solutions. Knowledge of cloud-based AI platforms, ideally within Azure. An understanding of how AI and ML systems are operationalised, monitored and maintained in production. Strong communication skills and the ability to translate complex technical concepts into practical business outcomes. Confidence working directly with both technical and non-technical stakeholders to solve ambiguous problems. An ownership mindset, with the ability to work independently while contributing effectively within a cross-functional team. Nice to have Prior experience in a business-critical / high-uptime production environment Experience with Databricks Understanding of asynchronous programming, containerised deployments (Docker), and modern service architectures Hands-on experience with Infrastructure as Code, particularly Terraform Experience designing and building distributed, asynchronous microservices using message brokers (e.g., Azure Service Bus, pub/sub). Knowledge of the insurance domain Core Values Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. Challenge everything: We're never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better. Have fun, be good: Insurance is a serious business, but we don't take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.

Role OverviewThe HR & AI Systems Architect is a senior technical leadership role responsible for shaping and evolving Fortive's HR technology ecosystem. Reporting to the Director of HR Technology (Engineering & Platform), this position sits at the intersection of HR systems, enterprise integration, and AI innovation, leading architecture decisions across Oracle HCM Cloud, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and the broader IT landscape.This role is the primary technical authority for HR platform architecture - defining how systems connect, how AI augments HR workflows, and how data flows reliably across the enterprise. The architect partners closely with HR Product Owners, IT/Enterprise Architecture, and vendor teams to deliver scalable, future-ready solutions that support Fortive's operating companies and HR functions globally.Core Technology LandscapeOracle HCM SuiteBoomi MiddlewareServiceNow HRSDEightfold AI PlatformLMS SolutionsIntegration APIsPower BI ReportingOracle AnalyticsKey Responsibilities1. HR Systems & Platform ArchitectureOwn the end-to-end architectural design of Fortive's HR technology landscape, including Oracle HCM Cloud (Core HR, Payroll, Talent, Compensation, Benefits), ServiceNow HRSD, Eightfold, and LMS platforms.Develop and maintain architectural blueprints, data flow diagrams, and modernization roadmaps aligned to cloud-native, API-first principles.Establish design standards, governance frameworks, and best practices across the HR tech portfolio.Partner with IT's Azure-based infrastructure teams to ensure HR systems align with enterprise architecture standards and security posture.2. Integration Architecture & EngineeringDefine and drive integration strategy across HR systems, moving from point-to-point patterns toward reusable, API-first services.Lead architecture and hands-on implementation using Boomi (atoms, molecules, connectors, process routing) as the primary middleware platform.Design scalable integration patterns - real-time APIs, event-driven integrations, and batch/file-based flows - connecting Oracle HCM to Eightfold, LMS, payroll, benefits, and IT/ERP systems.Maintain data integrity, auditability, and compliance (GDPR, SOC 2, HIPAA) across all integration flows.Supervise and guide integration developers through the full development lifecycle, including code reviews, design reviews, and documentation standards.3. AI Solutions & AutomationIdentify and deliver high-value AI and automation use cases across the HR lifecycle - intelligent onboarding, workflow automation, AI-assisted case triage, talent insights, and conversational self-service.Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold's talent intelligence platform, and ServiceNow HRSD.Build and prototype solutions leveraging HR-specific AI platforms, taking ideas from POC to production.Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards.Establish AI performance monitoring and responsible AI frameworks for HR use cases.4. Data Architecture & GovernanceDesign HR data models, master data management (MDM) strategies, and data lineage documentation in partnership with Data Engineering and BI teams.Enable secure, governed access to HR data for analytics (Power BI, Oracle Analytics).Define and enforce HR data contracts, quality standards, and privacy controls across all systems and integration points.5. Stakeholder Leadership & CollaborationServe as the primary technical advisor to HR leadership, Product Owners, and IT on HR technology architecture, AI strategy, and platform decisions.Translate complex architecture and AI concepts into clear business outcomes tied to KPIs and strategic priorities.Provide technical guidance on vendor selection and partnership for Oracle, ServiceNow, Eightfold, and integration tooling.Collaborate with HR Centers of Excellence (Talent Acquisition, L&D, Total Rewards) to embed AI capabilities within HR programs.QualificationsRequired10-12 years of progressive experience in HR technology and enterprise systems architecture.Deep expertise in Oracle HCM Cloud, including integrations, HCM Extracts, Security, and configuration across at least three functional modules.Proven experience with Boomi or a similar enterprise integration platform (Dell Boomi preferred), including building and supporting production integrations.Strong understanding of integration patterns, including REST and SOAP APIs, event-driven architecture, synchronous and asynchronous processing, and data transformation.Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems.Experience delivering AI/ML and automation solutions within HR systems.Experience with digital assistants or AI-driven employee experience platforms is a plus.Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration.Experience leading or mentoring small technical teams, including integration engineers and developers.Must be available to work within U.S. time zones (CST).PreferredHands-on experience with Eightfold AI or comparable talent intelligence platforms.Experience with LMS platform architecture (e.g., Absorb, Cornerstone, or similar).Background in Agile/SAFe delivery, DevOps practices, and CI/CD for integration pipelines.Experience with RPA tools (UiPath, Automation Anywhere) and Oracle Integration Cloud (OIC).Familiarity with Power BI, Oracle Analytics Cloud, or enterprise BI architecture for HR data products.Knowledge of enterprise AI governance, responsible AI frameworks, and data privacy regulations (GDPR, HIPAA).What Success Looks LikeIn the first 90 days, you will have mapped the current HR architecture landscape, identified integration gaps and technical debt, and proposed a prioritized modernization roadmap. Within the first year, you will have elevated integration maturity toward API-first and reusable services, shipped at least two meaningful AI-powered HR use cases into production, and established architectural standards that guide the broader HR engineering team.Fortive Corporation OverviewFortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference.At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.Fortive: For you, for us, for growth.We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at Corporation OverviewFortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference.At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.Fortive: For you, for us, for growth.We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law . click apply for full job details