Product research jobs in Newcastle Upon TyneCrear alertas

Sales Development Representative - help shape the growth of BCIS BCIS is moving into an exciting new phase of growth, powered by innovation, technology, and data. To support this development, we’re looking for a Sales Development Representative (SDR) to join our fantastic team in the North East. As the first point of contact for potential customers, you’ll play an essential role in introducing our trusted cost and carbon data products to organisations across the built environment. You’ll help connect businesses with insights that drive smarter decisions and be part of a collaborative, forward-thinking sales team that values curiosity, ambition, and wellbeing. What you’ll do • Research and identify new leads across key markets., • Engage potential customers, build relationships, and book product demonstrations., • Showcase BCIS’s data products and services in a clear and compelling way., • Log and manage interactions in Zoho CRM., • Collaborate with account managers to ensure a seamless handover of qualified opportunities., • Contribute ideas to improve lead generation and sales processes., • Conduct timely follow-ups via phone to convert marketing campaigns into SQLs. Why this role is great • Fully flexible and remote working options., • Supportive, inclusive culture with a focus on work-life balance and wellbeing., • Wellbeing day, private medical insurance, life insurance, enhanced pension contributions, and generous annual leave., • Uncapped commission scheme based on demos and associated revenue., • Opportunity to work in a highly reputed, tech-focused, and data-driven business entering a new phase of innovation and growth., • Career development and training to help you progress within sales. Who we’re looking for • At least one year’s SDR experience, ideally in a technology-based business., • Excellent communication and relationship-building skills., • Confident using CRM systems (Zoho experience a plus)., • Self-motivated and eager to learn., • Curious about how data and technology can drive smarter decision-making. Why apply This is a great opportunity to join the UK’s leading independent provider of cost and carbon data to the built environment and become an integral part of its evolution. BCIS is growing fast and this role puts you right at the heart of that journey. You’ll be part of a supportive team where your ideas are valued, your wellbeing is prioritised, and your success is rewarded.

Clinical Use Case Specialist – Digital Health Permanent | UK‑wide | Remote with NHS site travel Confidential Employer | Fast‑Growth SME (30+ headcount) Are you an experienced NHS Acute clinician with a passion for digital transformation? This rapidly scaling digital health SME (70–80% year‑on‑year growth) is expanding its clinical product team and is seeking a Clinical Use Case Specialist to help shape the future of clinical communication and digital workflows across UK hospitals. The Opportunity In this role, you will evaluate how digital clinical communication tools are used in real‑world NHS settings, identify workflow pain points, and develop new clinical use cases that improve safety, efficiency, and patient outcomes. You’ll work directly with frontline clinicians, informatics teams, product, and engineering to refine and evolve digital pathways used across large Acute trusts. Key Responsibilities • Evaluate real‑world clinical usage, uncovering gaps, inefficiencies and opportunities within hospital workflows, • Refine existing digital pathways and shape new use cases across different clinical areas, • Ensure clinical safety, compliance, governance and alignment with NHS policy and standards, • Work across clinical, product, and technical teams to influence roadmap and feature prioritisation, • Conduct clinical and user research to understand needs, behaviours and pain points, • Use data and analytics to measure success, adoption, and clinical benefit ✔ Must have worked within a large NHS Acute Hospital ✔ Strong understanding of NHS clinical workflows, clinical risk, governance and safety ✔ Experience digitising clinical pathways or delivering digital transformation in healthcare ✔ Health informatics, clinical informatics, or digital clinical workflow experience ✔ Experience working with multi‑disciplinary clinical and technical teams ✔ Understanding of interoperability standards (FHIR, HL7), data governance and NHS policy ✔ Product, programme or service improvement experience in a clinical‑digital environment Nice to Have • Clinical background (doctor, nurse, AHP), • Experience with clinical decision support, EPR integration or safety‑critical tools, • Work with a high‑growth, mission‑driven SME shaping the future of clinical communication, • Be part of a tight‑knit team of 30+ with huge scope for influence and progression, • Opportunity to improve real clinical outcomes at regional and national scale, • Work closely with former NHS leaders and digital innovators If you’re passionate about improving the way clinicians work and want to contribute to meaningful digital change, we’d love to hear from you. Please contact Sophie Peters at for further information.

🚀 Founding Engineer, World Class AI Startup Location: San Francisco, relocation from the UK provided, visa sponsorship available Compensation: Up to $180,000 base, plus equity and benefits About the Opportunity We are looking for an exceptional Founding Engineer to join a world class team building transformative artificial intelligence technology. This is a rare opportunity to work on cutting edge AI systems that will redefine how intelligence is built, deployed, and owned. You will be joining a highly selective group of engineers and researchers, including individuals from Oxford and Cambridge, working at the frontier of AI infrastructure and product innovation. The long term upside is significant, with the potential for genuinely life changing financial outcomes through equity participation. Why This Role Is Special Work on transformative AI technology that challenges cloud first paradigms and enables powerful AI systems to run efficiently across diverse environments Collaborate with elite technical talent from leading global universities Gain meaningful equity ownership in a company with exceptional growth potential Relocate to San Francisco with full visa sponsorship and support Have direct influence over product direction, architecture, and engineering culture Role Responsibilities Design, build, and scale core AI driven systems and platforms Work closely with research, product, and engineering to translate complex ideas into production ready software Own technical decisions and help shape long term architecture Move fast, experiment often, and build systems that can scale globally Technical Experience Experience with TypeScript, React, Node.js, Python, or similar backend languages Hands on experience building and shipping production systems Exposure to AI tools, machine learning platforms, or AI powered products Strong understanding of system design, performance, and scalability Who You Are Highly motivated, curious, and driven by solving hard problems Comfortable working in fast moving, high ownership environments Excited by early stage startups and building from first principles Ambitious, with a desire to build something category defining Compensation and Benefits Base salary up to $180,000 Meaningful equity with long term upside Visa sponsorship and relocation support from the UK to San Francisco Work alongside some of the most talented engineers in the industry

SUMMARY: We're looking for self-motivated individuals to join our dedicated team of Service Engineers in the UK to provide the highest level of client service! The Field Service Engineer will be responsible for visiting customer sites to install, troubleshoot and maintain Cytek instruments and equipment. ESSENTIAL DUTIES AND RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform essential duties and responsibilities satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Core responsibilities for this position include: • Installation, troubleshooting, maintenance, upgrading and repair of flow cytometers and Cytek products with proficiency in a timely manner., • Professionally managing technical needs of customers while delivering service excellence., • Maintaining a regular return visit frequency, keeping complete and accurate written and oral records of practical examinations., • Identifying customer needs and contributing to improvements in Cytek products., • Managing the daily schedule to ensure appropriate priority is placed upon urgent customer needs, while setting customer expectations for issues of less urgency., • Connecting with customers in a timely manner during business hours. Professionally communicating technical information to them via telephone technical support, service visit scheduling, product problem information gathering, fault isolation, corrective action, and site visit closure with high quality and efficiency., • Completing all business related transactions to include Field Service Reports, Instrument Qualification Reports, Parts Return Tags, etc. in a timely manner (usually within 48 hours) with high accuracy., • Managing personal service spare parts inventory to ensure accuracy on a regular basis., • Demonstrating the ability to quickly learn new technologies and develop skills in troubleshooting intra-connected complex systems., • Other duties as assigned REQUIREMENTS & QUALIFICATIONS: The requirements listed below are representative of the knowledge, skill, and/or ability required: • Bachelor's degree in Engineering, Life Sciences, and/or other technical degree, military training or experience, • 2-years experience troubleshooting and repairing Life Science equipment and/or integrated systems (software, optics, fluidics, electronics, etc.), • Work experience with the repair or service of electrical or mechanical equipment is highly preferred., • Previous experience in Flow Cytometry Repair is a plus, but not required, • Have a basic understanding of biology as it relates to flow cytometry, • Professional level English is a must – other European languages preferred., • Proficiency in Microsoft Office Suite. PHYSICAL DEMANDS AND WORK ENVIRONMENT: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • This is a full-time position, with evening and weekend work required as job duties demand, • This job entails a high volume of traveling – up to 75% of the time. Individual should be able to travel on commercial airlines, train, rental/leased car to fulfill job duties, • Individual should be able to lift 12-15kgs with ease, and be able to work in a standing position for 4 hours at a time. WHO WE ARE: At Cytek Biosciences, we are “Reimagining Cell Analysis to Fuel Scientific Discovery.” Our teams are on a mission to advance cancer and cell biology research using a powerful cell analysis technique called full spectrum flow cytometry. We are committed to providing powerful solutions that enable scientists to obtain deep biological insights rapidly and efficiently through high quality, high parametric datasets. Inclusion and diversity are core values at Cytek, and we place a high value on the unique perspectives and ideas that they foster. The Cytek team represents many diverse cultures, backgrounds and viewpoints. We seek to maintain high ethical standards and a culture that values honesty, integrity, and transparency in all that we do. We are committed to our employees and to the communities we serve worldwide. Cytek solutions are used in many of the world’s most renowned pharmaceutical, academic and research institutions. We are a growing company that is always looking for energetic, educated professionals. Expand your possibilities professionally and personally, and join our team as we satisfy long unmet needs in fields of research and medical discovery! All the information collected is needed to consider your application for a job at Cytek Biosciences. If you want to know more about how we will process your information as part of our recruitment process check our ___. Please note that our Applicant Privacy Policy is not supported for viewing on mobile devices. For optimal access, we recommend using a desktop device. Alternatively, you can contact us directly to request a copy of the Applicant Privacy Policy before proceeding with your application.

Embedded Software Engineer/ Consultant As an Embedded Software Engineer, you will get to tackle diverse, real-world challenges. Typically, this will involve going through the whole product life cycle, you will capture requirements, design, develop, document, test, and deliver through to production. My client variety of projects, from proof-of-concept through to working prototypes, provide both intellectual and practical challenges. Requirements: My client is looking for any candidate from a research heavy PhD background or candidates with a strong academic background or 2+ years of experience within an Embedded Software role. Skills that would be helpful for you to be familiar with: • design and implementation of technological solutions, • Linux, and programming in C and at least one other language (such as C#, C++, MATLAB), • Bare metal/RTOS software development on ARM targets, • High level software architecture, • Embedded software debugging methods, • Electronics development and/or hands-on debugging, • Scripting for test or signal processing (for example in MATLAB, Python) My client is looking for driven candidates who are highly motivated to be in a customer facing role while remaining technical. Details: • Candidates must be sole British and happy to go through the relevant security clearances., • Onsite role, based just south of Cambridge., • Salary DOE., • Private medical insurance for you and your family., • Life insurance X6 salary. If this role is of interest then please apply or send your CV to

Full Stack Engineer (JavaScript) – Tech Start-Up Remote (UK-based only) | Flexible Hours c£90k + Benefits (Pension, Private Healthcare, Death-in-Service, Equity Potential) Please note: Applicants must be UK-based with full right-to-work. Sponsorship is not available. The Role We’re looking for a senior, backend-leaning Full Stack Engineer who thrives in the controlled chaos of a true early-stage start-up, the kind where there’s no QA team, no DevOps team, no predefined frameworks, no hand-holding, and everything technical ultimately sits with engineering. This is a role for someone who is genuinely a jack of all trades, comfortable wearing multiple hats across backend, front end, infrastructure, integration engineering, and delivering production-quality work without layers of support. The company is building fintech-grade technology to disrupt the hospitality industry: powerful integrations, real-time customer personalisation, and seamless operational flows. If you want autonomy, impact, and variety, and you’ve had to solve real engineering problems in lean environments, this is it. What You’ll Do • Full Stack Development: Ship features across backend (majority) and front end (React/Next.js)., • Hands-On Problem Solving: Own complex engineering challenges end-to-end in an environment with limited process and support., • Integrations: Build and maintain mission-critical 3rd-party integrations and data flows., • Infrastructure Ownership: Handle deployment, debugging, monitoring, release processes (no DevOps team in place)., • Quality Without a Safety Net: Write reliable, maintainable, testable code—you are effectively your own QA., • Database Mastery: Optimise Firestore and PostgreSQL performance, queries, structures., • Technical Initiative: Identify gaps, propose solutions, and implement improvements without being asked., • Innovation: Research, evaluate, and introduce new tools, frameworks, or approaches., • Product Impact: Your work hits production quickly and directly shapes the user experience. Why This Role Is Different • No padding, no layers, no micromanagement – you are trusted to deliver., • Greenfield + problem-solving heavy – no frameworks or legacy safety nets., • High ownership – you will directly influence architecture, tooling, processes, reliability, and scale., • A place for doers – perfect for someone who loves autonomy and figuring things out., • Fintech-grade engineering – powering real-time payments, bill syncs, integrations, and personalised experiences. About You You will be a great fit if you: • Have 5+ years full-stack experience, with strong JavaScript/TypeScript depth., • Are backend-leaning, with deep Node.js and API experience., • Have previously worked in early-stage start-ups or very lean engineering teams., • Have extensive evidence of being a hands-on individual contributor in complex codebases., • Can operate without QA, DevOps, or heavy process—because you’ve done it before., • Are comfortable taking responsibility for deployments, testing, reliability, debugging, and performance., • Have strong experience with:, • Node.js, Express.js, • React / Next.js (or similar), • PostgreSQL / SQL, • Firestore, • GCP & Firebase, • Thrive in fast-paced, ambiguous, high-ownership environments., • Bonus: Experience in hospitality tech or fintech. Tech Stack • Languages & Frameworks: Node.js, Express.js, JavaScript, TypeScript, React, Next.js, • Styling: Tailwind CSS, • Databases: Firestore, PostgreSQL/SQL, • Infrastructure: Google Cloud Platform (GCP), Firebase, • Bonus: Experience building or integrating APIs at scale About the Company This start-up is reinventing how hospitality businesses connect with their customers, combining fintech-level reliability, smart integrations, real-time data, and delightful user experiences. They’re building tools that simplify operations and empower truly personalised service in an industry that needs modernisation.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively., • Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • Hands-on experience in Docker for Production deployment., • Proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred). Nice to Have: • Experience building Agentic applications, • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: • Work in a fully remote environment, • Opportunity to work on cutting-edge AI projects with leading LLM companies Offer Details: • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST, • Employment type: Contractor assignment (no medical/paid leave), • Duration of contract: 2 months; [expected start date is next week], • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) Evaluation Process (approximately 120 mins): • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network. If you are interested in a software engineer role, please ___.

Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS • Salary: £75k - £85k plus bonus, • Location: Fully remote, (UK-based), • Sponsorship is not available for this role Prism Digital have partnered with a super interesting and niche VC-backed client specialising in attack surface management and automated red teaming. Their platform provides organisations with real-time visibility into their attack surface and potential exploitable vulnerabilities. They have received numerous awards for being an up-and-coming security SaaS product company and show no signs of slowing down their growth. They've completed Series A funding, raising $29 million across three funding rounds, and are now seeking a Senior Backend Engineer. This role acts as the intersection between two teams - frontend software team and the security research team. You will be responsible for the entirety of the back end features of the products. You will be in charge of building scalable backend services and awesome messaging queues. You will be responsible for developing a Python-based back end platform that's handling 100,000+s of interactions daily. So the ideal candidate will come from a background of working with applications that are processing large amounts of data, transactions or instances daily. Key Requirements: • Python, • Previously worked at a start up / smaller sized company, • 5 years+ experience, • Ability to build software which scales, • Building messaging queues e.g., Kafka (nice to have) This is entirely a Python back-end development role (Python 3), where the core framework used is FastAPI and Kafka for the messaging queues. The data sits in PostreSQL and MongoDB. Benefits • Up to £85,000, • Fully remote, • 28-day holidays (including bank holidays), • Shares options, • Private health insurance via Bupa, • Competitive pension, • Salary reviews every 12 months This role does not accept applicants outside of the UK, nor does it offer sponsorship Senior Backend Engineer | Python, FastAPI & Scaling | Security SaaS • Seniority Level, • Mid-Senior level, • Industry, • Technology, Information and Media, • IT Services and IT Consulting, • Computer and Network Security, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Back-End Web Development, • Scalability, • Distributed Systems, • Python (Programming Lang Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS

Full Stack Engineer (Java, React, AI/ML/LLM/SDK) – Cutting-Edge Series B scale up Location: Remote EU - Spain Salary: £70K - £110K About: We are seeking a Full Stack Engineer with a proven track record in building and scaling applications powered by Large Language Models (LLMs). This role requires deep expertise in Java, React, and modern AI/ML development, including LLM frameworks, SDKs, and retrieval-augmented generation (RAG) systems. Key Responsibilities • Design and develop scalable full-stack solutions involving both frontend (React/TypeScript) and backend (Java)., • Build and optimise AI/ML pipelines leveraging LLMs and RAG architectures., • Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments., • Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products., • Ensure high performance, testability, and reliability across the stack. Key Qualifications • Strong proficiency in Java and React/TypeScript, • Hands-on experience building and deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.)., • Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning., • Experience with ML model serving, SDK development, and working in production-grade environments., • Ability to work across the full stack and thrive in a fast-paced, collaborative environment., • Product-focused engineer What We Offer: • The chance to work with cutting-edge hardware technologies in a high-growth environment., • A collaborative team culture that values innovation and technical excellence., • Competitive salary and benefits package.

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability. Responsibilities • Design, build, and deploy machine learning models into production within a Financial Services environment, • Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams, • Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring), • Ensure models meet requirements around performance, resilience, and explainability, • Contribute to MLOps best practices, model governance, and technical standards, • Support model monitoring, drift detection, and ongoing optimisation Required Experience • Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment, • Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn), • Experience deploying and supporting ML models in production, • Solid understanding of data pipelines, versioning, testing, and software engineering best practices, • Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have • Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases, • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.), • Docker and Kubernetes experience, • Exposure to model governance, explainability, or regulatory frameworks Contract Details • £650–£750 per day (Outside IR35), • Initial 6-month contract, with strong extension potential, • Immediate or short-notice start preferred

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline., • ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

About Quantiphi: • Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed., • Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead., • Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We have been recognized with: • 17x Google Cloud Partner of the Year awards in the last 8 years, • 3x AWS AI/ML award wins, • 3x NVIDIA Partner of the Year titles, • 2x Snowflake Partner of the Year awards, • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms, • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators, • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023 Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Sr Machine Learning Engineer Experience Level: 5+ years Employment type: Full Time Location: Remote (UK) Job Summary We are seeking a Sr Machine Learning Engineer to join our growing team. In this role, you will design, develop, evaluate, and deploy traditional machine learning models and solutions to solve real-world business problems. You’ll work closely with cross-functional teams including Data Science, Software Engineering, and Product to translate analytical insights into scalable production systems. This is an exciting opportunity for a data-savvy individual with a strong business acumen to make a significant impact on our customer retention and long-term success. Key Responsibilities: • Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data., • Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn, XGBoost, LightGBM., • Build robust data preprocessing pipelines and scalable workflows for model training and inference., • Collaborate on the development of agentic AI components — systems capable of autonomously planning, adapting, and executing tasks toward high-level goals with limited human oversight., • Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection., • Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions., • Work closely with data engineers, software developers, product owners, and domain experts to translate analytical insights into operational workflows., • Document model development, deployment decisions, and agentic AI design choices., • Contribute to best practices in ML lifecycle management and agentic system governance., • Experience with other GCP services like Cloud Storage, Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline., • 5 years of progressive experience in data analysis, business intelligence, or data science roles. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

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