to life and influence how data & AI transforms industries wed love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI Youll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront of … within professional services or a high-growth tech environment. A successful track record of developing and closing M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas such as modern data platforms, data product More ❯
perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Staff/Principal ML Engineer within the Autonomy team, youll lead critical initiatives that push the frontier of model-based autonomous drivingboth in terms of core driving performance and feature-level intelligence such as … personalization, comfort, and collaboration. Youll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. Youll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production. What Youll Be … to ensure integration and iteration velocity. Mentor senior engineers and shape the long-term technical direction across Autonomy. About you 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production. Expert in deep learning (esp. sequential models, control, planning, or perception). Proficient in Python More ❯
perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Staff/Principal ML Engineer within the Autonomy team, youll lead critical initiatives that push the frontier of model-based autonomous drivingboth in terms of core driving performance and feature-level intelligence such as … personalization, comfort, and collaboration. Youll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. Youll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production. What Youll Be … to ensure integration and iteration velocity. Mentor senior engineers and shape the long-term technical direction across Autonomy. About you 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production. Expert in deep learning (esp. sequential models, control, planning, or perception). Proficient in Python More ❯
or Jenkins. Exposure to security frameworks (NIST, ISO 27001, SOC 2). Experience working in SaaS, multi-tenant cloud environments. Knowledge of machinelearning security (AI/ML model risks, LLM security best practices). Familiarity with attack surface management and threat intelligence. Relevant certifications (e.g., Security+, SSCP, GSEC) are a plus but not required. What do we … heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic More ❯
efficiency. Translate Vision into Impact: Guide teams in the practice of transforming nebulous concepts into specific, useful, and delightful product features, adeptly navigating the complexities introduced by AI and machinelearning capabilities. Drive Insight-Driven Solutions: Champion the process of extracting powerful insights from user research, with particular attention to how users interact with and perceive AI-enhanced … keep you happy and healthy: Lightspeed share scheme (we are all owners). Flexible working policy. Mental health online platform and counseling & coaching services. Health and wellness benefits. LinkedIn Learning license (learning is always ongoing). Volunteer day to be able to give back to society! To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If More ❯
the discussion at offer stage. PURPOSE OF THE ROLE To lead the development of a scalable, flexible, and secure MachineLearning platform that accelerates the use of ML and Generative AI across the BBC, supporting its digital ambitions and empowering teams to deliver greater value to audiences. WHY JOIN THE TEAM This is a unique opportunity to shape … collaborative, forward-thinking environment where your work will have a direct impact on the BBC's future. YOUR KEY RESPONSIBILITIES AND IMPACT Define and own the roadmap for the ML platform, aligned with strategic vision and user needs. Lead a cross-functional team through Agile development to deliver impactful platform features. Collaborate with data scientists and engineers to understand workflows … and translate them into platform capabilities. Promote platform adoption through training, documentation, and stakeholder engagement. Monitor platform performance and evolve it to align with emerging ML tools and best practices. YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA Proven product management experience leading technical products, platform products, or ML solutions. Technical expertise in developing AI/ML solutions within an established organisation More ❯
Key Responsibilities • Design, Architect and deploy AI/ML and Gen AI solutions on OCI using native AI services (e.g., OCI Data Science, AI Services, Gen AI Agents) that are secure, scalable and optimized for performance & cost. • Build agentic AI solutions using frameworks such as LangGraph, CrewAI, AutoGen.• Design & lead the development of machinelearning AI/ML … architectural insights and technical credibility. We are looking for an experienced OCI AI Architect to lead the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. This role requires a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal … candidate combines deep technical expertise in AI/ML and Gen AI over OCI with domain knowledge in Finance and Accounting. More ❯
Are you a curious and driven AI/ML enthusiast ready to transform commercial strategy with data science? We’re looking for an AI/ML Analyst - Pricing & Commercial Strategy to join our dynamic team and play a pivotal role in shaping smarter pricing, deal governance, and business performance through cutting-edge machine learning. In this hands-on role … experience, this is your chance to grow alongside a forward-thinking team that’s redefining how data powers business success. What’s in it for you? Impactful AI/ML Projects: Build models for pricing optimisation, customer segmentation, and deal prioritisation that drive real business outcomes. Cross-Functional Collaboration: Work with sales, finance, and pricing teams to translate models into … What We’re Looking For: 2–4 years of experience in data science, machinelearning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying More ❯
Are you a curious and driven AI/ML enthusiast ready to transform commercial strategy with data science? We’re looking for an AI/ML Analyst - Pricing & Commercial Strategy to join our dynamic team and play a pivotal role in shaping smarter pricing, deal governance, and business performance through cutting-edge machine learning. In this hands-on role … experience, this is your chance to grow alongside a forward-thinking team that’s redefining how data powers business success. What’s in it for you? Impactful AI/ML Projects: Build models for pricing optimisation, customer segmentation, and deal prioritisation that drive real business outcomes. Cross-Functional Collaboration: Work with sales, finance, and pricing teams to translate models into … What We’re Looking For: 2–4 years of experience in data science, machinelearning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying More ❯
applicants Join to apply for the Head of AI role at Scrumconnect Consulting Role As Head of AI, you will be the primary technical driver of all AI/ML initiatives. Youll report directly to the CEO/CTO and own the full lifecycle of our AI roadmapfrom research and proof-of-concept to scalable production. Were looking for a … integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. Job Description Salary- 90k-100k, plus 25k bonus Role Overview Role As Head of AI, you will be the primary technical driver … of all AI/ML initiatives. Youll report directly to the CEO/CTO and own the full lifecycle of our AI roadmapfrom research and proof-of-concept to scalable production. Were looking for a doer who can rapidly prototype models, optimize for performance, and mentor junior engineers, all while helping define product strategy. In this role, you will: Lead More ❯
empathise with our users to build exciting products that meet our unique requirements across the business. During your first 12 months you will: Work closely with the Head of MachineLearning and key stakeholders across Motorway to identify and prioritise high-impact use cases for Generative AI. Develop end-to-end AI solutions, including agentic AI systems that … frameworks (we use NodeJS, NextJS & React). Practical experience building LLM-driven agents designed explicitly to automate multi-step workflows and enhance internal productivity. Benefits A competitive salary Annual learning budget - with your learning budget, you can pay for learning experiences to support your progression. BUPA health insurance Discounted dental through BUPA Discounted gym membership through BUPA More ❯
scientists and engineers, overseeing the development and implementation of advanced AI and machinelearning solutions. You will engage in close collaboration with cross-functional teams, including the ML Centre of Excellence, AI Research, Cloud Engineering, and others, to foster innovation and deliver solutions that yield a high Return-on-Investment (RoI). This senior leader will play a … Lead, mentor, and inspire a team of 20 data scientists and engineers, fostering a culture of innovation and excellence. Collaborate with senior leadership to identify opportunities for AI/ML to drive business growth and efficiency. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics. Proven track record in building and leading … teams of experienced ML engineers/scientists, preferably in the financial sector. Experience with scalable AI model deployment, including end-to-end ML model lifecycle management, optimizing training, inference, and monitoring for large-scale AI applications. Knowledge of Generative AI & LLM infrastructure, including AI ecosystems for GPT, OpenAI, and optimizing data ingestion, model scaling, and performance tuning. Proficiency in Python More ❯
to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯
to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯
partnerships with major tech companies. You'll develop AI strategies based on innovative, science-driven data in a collaborative environment. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and apply findings Manage multiple … Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, MachineLearning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong publication record or expertise in generative AI, deep learning, or computational More ❯
want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: The Representation Learning team's charter is to enable embedding latent representations of entities across our platform. The unique challenges/opportunities that you would help tackle are embedding entities to understand … innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and … the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys,Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid working or a remote More ❯
Gambling and establish a strong culture of data-driven decision-making in our organisation's strategy. We are looking for an experienced MLOps Engineer to support the delivery of ML products. You will work closely with the Data Science team, to understand the data and product requirements. You will also collaborate the Data & Ops team, to stay on top of … key changes that may impact the ML frameworks and to own the release of ML products. We use Azure Databricks as our platform. To be successful in the role, you will need to be experienced in cross-team collaboration to deliver data science projects, whilst promoting best practices. You will be proactive in identifying and communicating data-related issues and … between Data Science and Data & Ops teams. The Data Science department is currently a smaller team, with an ambition to grow, with a mix of a Data Scientists and ML engineers. Therefore, it is an excellent opportunity to grow, contribute and challenge yourself. Core Responsibilities Development and maintenance of the ML data pipeline, with the proper quality controls and contingency More ❯
leading the AI team, and managing academic and industry partnerships, working in a highly collaborative environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications … capabilities at conferences, publications, and collaborations About You (Required): A graduate degree in Computer Science, MachineLearning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management Strong publication record or expertise in generative AI, deep learning, or More ❯
leading the AI team, and managing academic and industry partnerships, working in a highly collaborative environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications … capabilities at conferences, publications, and collaborations About You (Required): A graduate degree in Computer Science, MachineLearning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management Strong publication record or expertise in generative AI, deep learning, or More ❯
present solutions Strong project management skills with ability to balance multiple priorities and deliver on time Collaborative mindset with experience working in cross-functional teams Bonus Points Experience with machinelearning workflows and MLOps practices Knowledge of real-time streaming data processing (Kafka, Kinesis) Background in consulting or client-facing technical roles Contributions to open-source analytics or More ❯
and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machinelearning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical More ❯
or more of the following areas: Data Engineering (DE), Business Intelligence/Data Warehousing (BI/DWH) and/or Data Science/MachineLearning (DS/ML/AI) Programming experience in Python/PySpark or SQL Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to More ❯
or more of the following areas: Data Engineering (DE), Business Intelligence/Data Warehousing (BI/DWH) and/or Data Science/MachineLearning (DS/ML/AI) Programming experience in Python/PySpark or SQL Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to More ❯
with: Exciting opportunity to work at a tech-centric prop trading fund which trades a wide range of financial products, with offices across the globe. Looking for an experienced ML Engineer with strong mathematical foundations to join their growing ML team and help drive the direction of the ML platform. In this role, youll draw on your in-depth knowledge … of the ML ecosystem and understanding of varying approaches to aid decision-making, choosing the right tool for the problem. Your work will also focus on enhancing research workflows to tighten feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modeling techniques, while also being able to break down the mathematics behind them. The successful … to use. If you also have a great appetite for learning new things, this role is for you! Requirements: A strong mathematical background, in addition to experience with ML techniques and infrastructure You have previously built and maintained training and inference infrastructure A robust understanding of what it takes to move from concept to production Strong experience in model More ❯
The projects you'll work on will be diverse and will demand a strong proficiency in multiple technologies, primarily Python and SQL. Your tasks may include feature engineering for machinelearning models or data validation, integrating with external APIs, developing internal tools, creating REST APIs, and managing databases. The requirements Essential: Python software engineering experience. SQL experience. Happy … your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value diversity in thought and skill, and encourage you to explore new areas of interest … to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. More ❯