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AI Solution Engineer/Architect You know those conversations that are punctuated with references to AI? And then everyone nods, but no one really knows what to do next? That’s where you come in. This is a brand new Technology & Innovation unit in a large Consulting firm. We’re looking for engineers who can turn vague ambitions into something real. Not just a slide deck. Not just buzzwords. Actual solutions that work. Sitting at the intersection of technology, strategy and thought leadership, you’ll be the person who bridges the gap between industry SMEs (who spot the business cases) and the teams who build the stuff. You’ll be a hands on software engineer/architect, who shapes AI solutions that make sense—technically and commercially—and show clients and internal teams what’s possible. You’ll also have unprecedented access to global alliances at the forefront of the AI frontier. What you’ll be doing: • Working with client facing Consulting teams and internal teams from early in the process to help prospects understand what AI can do for them., • Designing and demonstrating prototypes that prove the value of a solution before building it., • Acting as a trusted advisor—someone who can explain complex AI concepts to non-technical people without making them feel stupid. What you’ll need: • Deep experience shaping and engineering enterprise software solutions from the concept right through the delivery., • Hands-on knowledge of AI model architecture—LLMs, SLMs, training, deployment., • Practical experience with at least two hyperscale platforms and lot of experience on AI foundation models (AWS Bedrock, Azure ML, Google Vertex, OpenAI)., • A solid grasp of data, machine learning, and the realities of cloud security and cost optimisation. You’ll be an engineer at heart who still loves solving technical problems and developing software. But this isn’t a pure coding role. It’s about thought leadership (particularly on enterprise agentic AI strategies at scale) influence, credibility, and making things happen. If you like being the person who connects the dots and turns ideas into working solutions, you’ll enjoy this.

Data Science Lead Role : Permanent Location : London Experience : 12 to 18 years Job Requirements: • 12 years of experience manipulating data sets and building statistical and machine learning models., • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field • Fluent English (written/spoken) • Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Experience Developing Machine Learning / Data Science models, from coding to deployment, • 2+ years of experience in teaching or training., • Able to train/mentor/coach in coding (mandatory python and SQL, java or C++), • Project Management background preferred., • Knowledge of the Consulting/Sales structure., • Empathy and service attitude, • Fast-paced, • Project Management experience, • Desirable previous international experience (US, Canada, or Europe), • Leading consultants to grow and create tangible benefits and assets. Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position • Collecting data through means such as analyzing business results or by setting up and managing new studies, • Transferring data into a new format to make it more appropriate for analysis, • Build tools to automate data collection, • Compare and analyze provided statistical information to identify patterns, relationships, and problems, • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering, • Prepare detailed reports for management and other departments by analyzing and interpreting data, • Train assistants and other members of the team how to properly organize findings and read data collected, • Design computer code using various languages to improve and update software and applications, • Refer to previous instances and findings to determine the ideal method for gathering data, • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering, • Prepare detailed reports for management and other departments by analyzing and interpreting data, • Train assistants and other members of the team how to properly organize findings and read data collected, • Design computer code using various languages to improve and update software and applications, • Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision, • Python and SQL coding skills are indispensable, • Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform, • Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc., • Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus, • Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets, • Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc., • Ability to compile and organize statistical information retrieved and present findings to management, • Faculty to work toward multiple deadlines simultaneously, • Strong problem-solving skills with an emphasis on product development., • Certification in a Cloud-Based/Machine Learning service desirable, • Seniority Level, • Not Applicable, • Industry, • Software Development, • Engineering Services, • Information Services, • Employment Type, • Full-time, • Job Functions, • Information Technology, • Engineering, • Skills, • Computer Vision, • Machine Learning, • Natural Language Processing (NLP), • Python (Programming Language), • Deep Learning, • Artificial Intelligence (AI), • Data Science, • Cloud

Qualification The Solutions Architect role at Impetus is critical, as we design cutting-edge solutions for some of the biggest global enterprises. Our SAs drive customer success by aligning business goals with IT services, software products, platforms, and infrastructure. They are creative problem solvers who collaborate closely with clients to understand challenges and architect solutions that address them. In a rapidly evolving technology landscape filled with countless tools and platforms, SAs play a vital role in helping customers make the right technology choices, ensuring both immediate and long-term success. The Skills You’ll Need: • Experience in architecture & design and consulting services focused on enterprise solutions, data analytics platform, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data., • Experience in BFSI Industry is required., • Experience in defining and designing data governance, data management, and data security solutions for an enterprise across business verticals, • Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP, • Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.), • Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads., • Knowledge of market insight, technology trends, and competitor intelligence, • Exceptional customer orientation and consultative Skills., • Excellent communication (verbal and written), interpersonal, organization, documentation, and presentation skills (to executive-level staff and to large groups), • Able to make decisions on technical and design tradeoffs to best meet customer’s needs., • Active passion and experience in innovative technologies., • Must be a self-starter, results oriented and flexible to adapt to ambiguities and changes., • Open to frequent travel to meet with customers and attend internal and external events across the Americas and Europe. Skills Required: Data Warehousing, ETL, Big Data, Presales, BFSI Role: At Impetus, you will operate at the intersection of business and engineering, engaging with engineers, managers, sales teams, and C-level executives—internally and on the client side—to create a shared understanding of business objectives and how the proposed solutions will achieve them. Your ability to bridge the gap between technical and strategic decision-making ensures that our solutions not only solve current challenges but also drive long-term growth and innovation. • Work closely with customers to understand their business needs and challenges, translating them into actionable solutions., • Lead onsite workshops with customers to design & develop prototypes in collaboration with engineering teams., • Develop overall solutions, including architecture, high-level design, statements of work, service design, and bills of materials., • Present Impetus products and services capabilities to prospects & partners and be their trusted technical solution advisor., • Develop use case demonstrations and proofs of concept in collaboration with sales, customers, and Impetus implementation teams., • Lead technical responses to RFI/RFP., • Create thought leadership through presenting at conferences, summits, and events, writing, user group presentations, and community involvement., • Stay abreast of technology developments relevant to Impetus and its competitors, the latest advancements in GenAI research, and industry trends, contributing to the company's GenAI strategy., • Provide knowledge transfer to the delivery teams to ensure a smooth handover from presales to delivery.

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The DevOps Engineer introduces processes, tools, and methodologies to balance needs throughout the software development life cycle, from coding and deployment to maintenance and updates. Your Role at Orange Logic: • Infrastructure provisioning, optimization and management., • Cloud architecture & system administration., • Manage and improve the observability stack (metrics, logs, traces, alerting, visualization)., • Dealing with security requirements and automations proposing a good balance., • Acts as the DevOps advocate; helps evangelize and educate the DevOps way across the organization., • Develop new system and application plans to ensure operational reliability., • Assist in managing and maintaining a network of hosted servers., • Enforce / help about security good practices at dev level to prevent breaches., • Participate to optimize cloud costs. Ideal Qualifications: • Experienced Infrastructure as Code with CloudFormation/Terraform., • Experienced on containers approach with Docker (Linux and Windows)., • A Subject Matter Expert on cloud infrastructure (e.g. AWS, Google Cloud, Azure)., • Experience with CI/CD pipelines (Jenkins, TeamCity, Azure Pipelines) and ElasticSearch, • Experience with configuration management tools (e.g. Chef, Puppet or Ansible)., • Experience in cloud native approach and containers orchestration tools (e.g. Kubernetes)., • Proficient with Windows/Linux systems using a terminal (e.g. Bash, Powershell)., • Hands-on experience with developer toolset and practices such as using source control, giving and receiving code reviews, writing unit tests and familiarity with agile principles., • Strong understanding of common system architecture, provisioning and automation. Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Remote-first culture that values flexibility, trust, and work-life balance, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing DevOps team we’d like to hear from you. Apply today! By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

🌟 Senior Data Scientist SME & AI Architect (10+ Years Experience) 🧠 We are seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural Language Processing (NLP). You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities • AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs), and specialized models in Computer Vision and NLP., • Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference., • Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency., • Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:, • Computer Vision: Developing and optimizing models for image recognition, object detection, and video analytics., • NLP: Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs., • Generative AI: Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features., • SME Consulting & Mentorship: Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams., • MLOps & Governance: Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment. Required Skills and Expertise (10+ Years) 1. Big Data and Cloud Mastery • Programming & Big Data: 10+ years of extensive, hands-on experience with Apache Spark, with strong preference for production development using Scala. Deep expertise with Apache Hive for data querying and management., • Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery)., • Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. Advanced AI/ML Specialization • Generative AI (GenAI) & LLMs: Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs)., • Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO)., • NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications. 3. Leadership & Soft Skills • Technical Leadership: Proven track record of leading complex data science projects from research to production deployment., • Communication: Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences., • Mentorship: Experience mentoring and training senior engineers and data scientists. Education and Certification • Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field., • Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.

Full Stack Engineer (JavaScript) – Early-Stage 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.

Senior Machine Learning Engineer (Generative AI / LLMs) Location: Fully Remote (UK-based) Salary: £75,000 – £100,000 (depending on experience) The Role We’re hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google’s AI ecosystem. You’ll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM-powered products. What You’ll Be Doing • Design, develop, and deploy advanced machine learning and deep learning models into production., • Architect scalable LLMOps pipelines on GCP / Vertex AI, including fine-tuning, vector search, and low-latency inference., • Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering., • Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety., • Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling., • Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions., • Monitor, optimise, and continuously improve models in live production environments., • Contribute to the architecture and evolution of the AI platform and supporting data infrastructure., • Stay current with emerging research, tools, and best practices across ML and Generative AI. What We’re Looking For Essential • 5+ years’ experience in machine learning engineering or applied AI roles., • Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems., • Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI., • Experience with vector databases and retrieval-based architectures., • Proven experience designing and operating large-scale ML systems in production., • Strong experience with GCP Vertex AI (or equivalent cloud ML platforms)., • Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git., • Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have • Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use)., • Familiarity with LLM evaluation frameworks such as RAGAS or TruLens., • Experience fine-tuning large models or working with reinforcement learning techniques., • Background in mathematics, statistics, or theoretical computer science., • Understanding of data governance, bias mitigation, or model interpretability. Why Join • Work on real, production-grade GenAI systems with clear business impact., • High autonomy and ownership in a senior, hands-on engineering role., • Fully remote working with a collaborative, distributed team., • Opportunity to influence architecture and long-term technical direction., • Competitive salary up to £100k, plus benefits.