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United States Digital Space LLC is looking for an engineer to develop software features that enhance iPhone camera capabilities. You will collaborate with top talent, implementing real-time camera image processing algorithms and prototyping new technologies. The ideal candidate should have a strong background in computational photography, excellent coding skills in C or C++, and a graduate degree in Computer Science, Electrical Engineering, or a related field. Experience with machine learning and computer vision is preferred.

Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role We're looking for Technical Ex-Founders to join our Engineering team. If you wrote your company's early code, operated it through real user growth, and miss building and shipping more than you miss anything else about the founder job, this role is for you. Engineers who've founded or been the early technical leader at a startup tend to thrive at Slingshot because they get to work autonomously and own a large set of problems. They're product-minded owners by default, comfortable defining a problem, talking to users, building a solution, and iterating. We'll always have a place for smart and motivated technical people who have built and scaled something interesting. Our tech stack uses Kotlin for core backend services, Python for our ML work, Dart/Flutter for the app, Next.js/TypeScript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require. What we look for You founded or was the early technical lead at a startup, wrote a meaningful share of the production code yourself, and operated it through meaningful user growth. 6+ years of (recent) hands-on engineering experience, with opinions on trade-offs and quality formed by having to live with your own decisions in production. Comfortable building inside AI/ML codebases. We don't need you to be an ML Engineer, but having an interest in AI helps! If this sounds like you, we'd love to hear from you. A short note about what you built last, what you'd want to build next, and links to anything you've shipped (projects, repos, writing) is more useful to us than a polished CV. What we offer: A chance to join a passionate tight-knit team working on something to change the world Competitive compensation (top of personal market) Travel between our NYC / London offices Usual startup perks like free lunch and coffee in office + generous learning budget We cover your personal therapy

Role: Machine Learning Engineer Location: Lincolnshire Working Arrangement: Hybrid Salary:Up to £90k Are you an AI/ML Engineer who enjoys solving complex real-world problems where machine learning directly impacts operational outcomes? We're looking for an experienced engineer to join a specialist team developing next-generation AI and machine learning capabilities for advanced signal processing and automation challenges. You'll work on projects that combine cutting-edge ML techniques with practical engineering, helping transform large volumes of complex data into actionable intelligence. This is an opportunity to work on highly innovative programmes where your models will be deployed to solve genuine mission-critical challenges rather than remaining in research environments. What You'll Be Working On Machine learning for signal recognition and classification Extracting meaningful signals from noisy and complex datasets Applying AI to automate detection workflows and GUI operations, including intelligent frequency band selection What We're Looking For You will have strong experience developing and deploying machine learning solutions, ideally within signal processing, communications, RF, defence, aerospace, telecommunications, or similarly data-intensive environments. Experience with Python and modern ML frameworks is expected, alongside a passion for building practical AI solutions that deliver measurable results. Current SC Clearance is highly desirable, although candidates eligible and willing to undergo clearance will also be considered. What's On Offer You'll join a highly skilled engineering team tackling technically challenging problems, with access to interesting projects, modern technology stacks, and excellent opportunities for professional growth. Salary up to £90,000 plus a comprehensive benefits package. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background. JBRP1_UKTJ

The Role As a Data Scientist in our Analytics Business Consulting practice, you will use your expertise in scientific data and healthcare knowledge to support the creation of meaningful business insights through data analytics, data science, and data visualization; answering critical business questions facing senior executives in global pharma today. What You'll Do Analyze data from Veeva Data Cloud and also external data Design, build, and maintain visualizations/dashboards/data pipelines to identify relevant data trends Leverage machine learning, NLP, GenAI, and other data science techniques to uncover insights Clearly and confidently describe the data structure and analytical approach you adopt to solve a specific business question Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for pharma to support their R&D, pre-launch, launch, and post-launch strategies As required, present your findings and recommendations to senior stakeholders at pharma and justify your findings Support innovation and large-scale transformative insights projects Requirements Experience: MD/PhD/MSc with thorough understanding of scientific activities from medical experts (congresses, publications, etc.) Experience with data analytics and large/complex datasets Analytical Rigor: A strong mindset for both quantitative and qualitative reasoning Communication: Ability to articulate complex ideas clearly to senior stakeholders Education: Bachelor's degree or higher Nice to Have Experience with business intelligence tools (Tableau, Spotfire, PowerBI, Qlik, etc.) Experience with Python, prompt engineering, machine learning, or NLP Experience in structuring and successfully executing large and complex insights projects The Process Our process is different than most. It is designed to be fast, efficient and respectful. Here are the steps: You submit your resume, short cover letter of questions, and take a personality assessment Within 5-10 business days, we will notify you via email if we would like to go to the next step or not The next step is a 45-minute interview with a leader of the practice, followed by a job history interview and case exercise. You will have one week to prepare for the case exercise Within one week after the case exercise, we will give you an offer or let you know that we do not wish to move forward Perks & Benefits Compensation: Highly competitive salary and equity in Veeva Growth: Unrivalled career progression in a fast-growing, global team Flexibility: Veeva is a Work Anywhere company. You can work from home or the office on any given day As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at .

Lead Data Engineer page is loaded Lead Data Engineerlocations: UK - Hooktime type: Full timeposted on: Posted Todayjob requisition id: R At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your role: Lead Data EngineerTo be successful in an engineering role at Elanco requires a highly motivated individual with an innovative mindset and willingness to drive tangible outcomes. The individual must be able to articulate complex technical topics, collaborate with internal and external partners, and ensure quality delivery of the required data products. Your Responsibilities: Partner with your Product Manager to lead squads through sprints, engage in product discovery, enhance engineering designs, and develop compelling solutions to prioritized problem statements. Leverage modern product approaches to influence and shape the business, e.g. discovery, rapid prototyping, and embedding a culture of working out loud. Advocate for, and educate colleagues and stakeholders on, our Enterprise Data Engineering capabilities to ensure their value and potential is well understood. Drive strong technical standards, technical processes governance and control. Support and execute quality change management practices, ensuring a high bar for quality. Drive Elanco's data standards, leveraging standard languages and frameworks across the enterprise, continually reviewing them to ensure a balance of effectiveness and pragmatism. Partner with core engineering groups to ensure application security is appropriately considered, monitored, and acted upon. Act as an escalation point of contact to diagnose and problem solve data engineering challenges. Look for opportunities to modernize our data landscape, maximizing investments and driving more reliable outcomes. Contribute to the Data Engineering community across Elanco to inspire, engage, and ignite innovation. Embrace and demonstrate a learning, growth, and sharing mindset. Look for opportunities to partner internally and externally using formats to engage, learn and achieve great outcomes for Elanco IT. What You Need to Succeed (minimum qualifications): Bachelor's Degree in Computer Science, Software Engineering, or equivalent professional experience. 6+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred. 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. What will give you a competitive edge (preferred qualifications): Proven ability to lead and deliver complex data projects. Expertise in data pipelines, integration and analytics practices and capabilities. Experience working with modern data architectures, engineering methodologies, and platforms (Databricks, lakehouse, scalable data pipelines, APIs, data contracts, SQL/NoSQL, FAIR data principles, etc.). 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. Familiarity with machine learning workflows, data quality, and data governance. Experience working in complex and diverse global landscapes (business, technology, regulatory, partners, providers, geographies, etc.). Experience as a coach and/or mentor in developing technical skills. Good interpersonal and communication skills; proven ability to work effectively within a team. Familiarity with infrastructure automation techniques and technologies such as Terraform and Ansible. Additional Information: Travel: 0-10% Location: Hook, UK - Hybrid Work Environment If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected statusElanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see ourElanco Animal Health Incorporated (NYSE: ELAN) is a global leader in animal health dedicated to innovating and delivering products and services to prevent and treat disease in farm animals and pets, creating value for farmers, pet owners, veterinarians, stakeholders, and society as a whole. With nearly 70 years of animal health heritage, we are committed to helping our customers improve the health of animals in their care, while also making a meaningful impact on our local and global communities. At Elanco, we are driven by our vision of Food and Companionship Enriching life and our Elanco Healthy Purpose(TM) CSR framework - all to advance the health of animals, people and the planet. Learn more at .

The role This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Member of Technical Staff focused on Software Engineering, you will ship product end-to-end: designing, building, and launching the features that make Ash an even more engaging and effective product. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders who care deeply about the quality of their work and want to ship things that make a real difference in people's lives. Our tech stack uses Dart/Flutter for the app, Kotlin for core backend services, Python for our ML work, Next.js/TypeScript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require. About you 6+ years of software engineering experience, with a track record of shipping consumer products used at meaningful scale in high-growth, high-quality environments. Strong product instincts and real opinions about UX, performance, and craft. You notice the latency that makes the app feel slow even when the metrics look fine, and you fix it. Driven by creating a world class product with a world class team, want to own what you build, and you're happy tearing down experiments and features as we learn. Comfortable building across the full stack, a keen learner who picks up new languages, technology stacks, and concepts quickly. Experience working in a fast paced environment, owning end to end features and experiments that ship in days. Nice to have Experience working on apps with realtime or voice features. Experience working on service oriented systems in production. Experience building and shipping Flutter apps in production. Experience working with ML codebases (we don't need you to be an ML Engineer, but having an interest in AI helps!) Key responsibilities Collaborate within a cross functional team spanning engineering, machine learning, and product to quickly design, build, and launch new features across the stack. Work comfortably across all parts of our stack, which includes the app (Dart/Flutter), core backend (Kotlin), internal tooling (Next.js/TypeScript), and ML scripts for evaluation, data processing, and model training (Python). Elevate user experience by continually refining app reliability, performance, and polish. Rapidly investigate, diagnose, and resolve bugs to ensure product stability. Take initiative to independently prototype new features based on customer feedback and your own product intuitions. What we offer A chance to join a passionate tight knit team working on something to change the world Competitive compensation (top of personal market) Travel between our NYC / London offices Usual startup perks like free lunch and coffee in office + generous learning budget We cover your personal therapy

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting We are looking for an Operations Analytics Analyst to join the Operations Analytics team. This is a hands on role for someone who is strong in Python and SQL, comfortable working with operational data, and excited by the opportunity to build practical analytics and automation solutions. You will work on a mix of reporting, deep dive analysis, automation, and product expansion projects. The role is particularly focused on supporting growing products, including US expansion, by setting up reporting baselines, identifying operational inefficiencies, and building proof of concept automations that reduce cost to serve and improve scalability. This is a great opportunity for someone who enjoys context switching between analytical problem solving, stakeholder management, and hands on technical delivery. What You'll Do Build reporting baselines and performance dashboards for new and growing products, including US expansion. Analyse operational workflows to identify bottlenecks, inefficiencies, and low hanging opportunities for improvement. Use Python and SQL to investigate operational performance, cost to serve, customer outcomes, and commercial impact. Create proof of concept automations using Python, APIs, and LLMs to reduce manual work and improve decision making. Support analysis across areas such as QA, disputes, AML, fraud, customer support, vulnerability, workforce planning, and service operations. Translate ambiguous operational problems into clear analytical questions, outputs, and recommendations. Work closely with Operations, Product, Data, and senior stakeholders to prioritise and deliver high impact work. Support data quality, metric definition, and reporting consistency as new products and processes scale. Present findings clearly to both technical and non technical stakeholders. What We're Looking For Minimum 1 year of experience in an analytics, data, operations, or technical role. Strong Python skills are essential, including experience with data analysis, automation, and working with structured datasets. Strong SQL skills, with the ability to query, join, transform, and analyse large datasets. Good understanding of basic statistics, including distributions, averages, variance, conversion rates, confidence, and trend analysis. Basic understanding of data science principles, such as classification, prediction, model evaluation, and feature thinking. Strong analytical problem solving skills and the ability to move from problem definition to insight and recommendation. Comfortable working in ambiguous, fast paced environments where priorities can change. Able to operate as both a hands on analyst and a pseudo PM when required. Strong communication skills, with the ability to explain analysis clearly to senior stakeholders. Comfortable context switching across reporting, analysis, automation, stakeholder questions, and product support. Nice to Have Experience with dbt or modern analytics engineering workflows. Experience building or maintaining data pipelines. Experience integrating with REST APIs. Exposure to LLMs, prompt engineering, AI automation, or AI engineering workflows. Experience building end to end Python automations or internal tools. Understanding of operational workflows such as QA, fraud, disputes, AML, IVR, workforce planning, or customer support. Experience working with product teams or supporting new product launches. Interview process Screening Call + Python Questions Live Technical Python Interview Case Study Interview Final culture add interviews Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in office weekly; fully remote roles include regular opportunities for in person connection through socials and off sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in house chefs on in office days at select locations Sustainable commuting: cycle to work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog!

SENIOR DATA PLATFORM ENGINEER ABOUT US Every day, we push beyond expectations to help millions of people save money, at a time when it's never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year. Can you tell this is something we're exceptionally proud of! Creative, collaborative, ambitious - it's hard work. But what makes it worth it? Leaving work knowing we've made a difference to our customers, users, and to each other. Put our distinct brands together with our dedicated colleagues and you've got a workplace with lots of personality. We're open minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong. WHY JOIN THE DATA TEAM As part of the company Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision making. Data & AI Engineering is a cross functional team of engineers and scientists. We integrate with the group's operational data stores, maintain shared data models, build AI infused internal and external data products, and provide tools and services that help data teams handle data securely and ship with confidence. ABOUT THE ROLE This is a hands on engineering role for someone who wants to build reliable data platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across the company. AI assisted engineering is an important part of the role, but we do not expect candidates to arrive as experts in every agent framework or tool. We are looking for strong engineering judgement, curiosity, and the ability to apply automation responsibly to real delivery and operational problems. You might come from data engineering, platform engineering, software engineering, SRE, analytics engineering, MLOps, or cloud infrastructure. What matters most is that you enjoy reducing toil, improving developer experience, and building secure, observable systems that other teams can depend on. WHAT YOU WILL BE DOING Build and operate the data platform Contribute to the design, delivery and operation of platform infrastructure using infrastructure as code, primarily Terraform. Improve CI/CD pipelines, deployment practices and platform tooling that enable data teams to self serve safely. Work with security, compliance and data protection colleagues to reduce risk and improve data handling practices. Deliver reliable data products Build robust, scalable data solutions that support business needs such as CRM, SEO, financial reporting and personalisation. Stay close to the business context and apply software engineering practices to solve specific data problems. Improve monitoring, alerting, data quality checks and observability so issues are detected and understood quickly. Improve engineering workflows with AI and automation Identify repeated or high friction engineering tasks and turn them into reliable automated or AI assisted workflows. Help shape team practices for coding agents, prompts, local instructions, skills, hooks and tool integrations where they deliver real value. Balance speed with security, reviewability and maintainability when introducing AI assisted delivery patterns. Enable the wider team Share practical learning through documentation, demos, pairing and show and tell sessions. Support more junior team members through coaching, code review and clear engineering standards. Keep an informed view of the fast moving AI tooling landscape and recommend adoption where it solves real team problems. WHAT WE LOOK FOR Essential experience and strengths Strong software or data engineering fundamentals, including production Python and SQL. Experience building, operating or improving cloud based systems. Familiarity with infrastructure as code, CI/CD, version control and automated testing. Ability to reason about reliability, security, observability and operational support. Experience working with technical and non technical stakeholders and communicating clearly. Curiosity about AI assisted engineering and automation, with an interest in applying these tools to practical delivery workflows. Useful but not essential Experience with GCP, AWS or Azure services such as serverless runtimes, networking, data warehouses, streaming systems or managed workflow platforms. Experience building or configuring AI agent workflows, custom agents, tool/function calling, MCP servers, local coding agent instructions, hooks or SDKs. Experience with BDD/TDD, design for testing, or improving testability in data and platform systems. WHAT REWARDS ARE ON OFFER Up to 27 holidays + bank holidays Pension up to 6% employer contribution Bonus scheme Digital Doctor on demand Work from anywhere scheme - 2 weeks per year Financial coaching Mental health platform access HOW WE'LL INVEST IN YOU We're invested in your development. Expect mentorship, training, and opportunities to expand your skill set, including access to your own individual LinkedIn Learning license with access to over 16,000 courses. At the company, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We're committed to minimising systemic bias and creating a level playing field for all candidates. We provide reasonable accommodations in the application process. You do not need to disclose your disability or condition - just specify your needs and we will guide you through available accommodations.

This is an external job posting. Apply directly on the employer's website. Job Description Location: London Employment Type: Full time Department: Engineering Compensation: UK 100K - 250K; US 150K - 400K. We aim to pay 90th percentile for the industry. All roles include meaningful equity ownership. Company: Slingshot AI - the team behind Ash, the first AI designed for mental health. We aim to make support more accessible and help people change their lives. We are building a world class team with autonomy, flexibility, and support. We have offices in NYC and London, are a well funded Series A company, raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, and others. Role This is a chance to join a passionate team leveraging cutting edge AI to improve mental health access globally. As a Member of Technical Staff focused on Production Engineering, you will build the platform that powers Ash at scale, working across voice and AI stacks, internal services, and the data systems around them, improving observability, deployment, and platform tooling. About You 6+ years of software engineering experience, with a track record of operating production systems at meaningful scale in high growth, high quality environments. Strong systems instincts and real opinions about latency, reliability, and cost. You know what breaks first under load, and you design around it. Driven by creating a world class product, want to own what you build, and are happy redesigning systems as production teaches you something new. Comfortable building across the full stack, a keen learner who picks up new languages, technology stacks, and concepts quickly. Experience working in a fast paced environment, taking systems from prototype to scaled production in weeks. Nice to have: experience working on production AI inference or model serving systems; on realtime systems such as voice, live communications, or streaming; on large scale data pipelines or evaluation systems; and with ML codebases (interest in AI helps). Key Responsibilities Collaborate within a cross functional team spanning engineering, machine learning, and product to quickly design, build, and launch new features across the stack. Work across all parts of our stack - core backend (Kotlin), ML scripts for evaluation, data processing and inference (Python), low level media streaming (Rust), the app (Dart/Flutter), and internal tooling (Next.js/TypeScript). Elevate user experience by continually refining the reliability, performance, and scalability of the systems behind Ash. Rapidly investigate, diagnose, and resolve production issues with a focus on latency, reliability, and cost. Take initiative to independently prototype new features based on customer feedback and your own product intuitions. What We Offer A chance to join a passionate tight knit team working on something to change the world. Competitive compensation (top of personal market). Travel between our NYC / London offices. Usual startup perks: free lunch and coffee in office plus generous learning budget. We cover your personal therapy. Compensation Range: 100K - 250K (UK) / 150K - 400K (US)