ai specialist

Talan

<div><b>Company Description</b><p><br>
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).</p><b><br>
Job Description</b><p><br>
As AI moves from experimentation to enterprise-wide adoption, doing it responsibly has become a commercial necessity, not just an ethical one. We are looking for a Responsible AI Specialist to ensure the solutions we design and the advice we give to clients are trustworthy, compliant, and fair by design. This is a role for someone who can translate principles (fairness, transparency, accountability) into practical frameworks that engineering teams and clients can actually apply.</p><p>
You will be a connective figure across the practice: advising delivery teams on ethical and regulatory risk, contributing to client governance conversations, and helping shape the standards by which we build. You do not need to be a deep technical engineer, but you must understand how AI systems work, where they fail, and what good governance looks like in practice, particularly as regulation such as the EU AI Act reshapes expectations.</p><p>
This is a growing area of strategic importance, offering significant scope to define our approach and to become a recognised voice in responsible AI.</p><p><b>
Required skills &amp; experience:</b></p><ul><li>
Define and implement Responsible AI frameworks, policies, and practical guidelines across the practice.</li><li>
Advise project teams on ethical AI design, risk identification, and mitigation throughout the delivery lifecycle.</li><li>
Conduct AI risk and impact assessments, and embed fairness, transparency, and accountability into solutions.</li><li>
Contribute to client conversations on AI governance, risk, and regulatory readiness.</li><li>
Monitor evolving regulation (EU AI Act, ICO guidance, emerging standards) and translate it into actionable guidance.</li><li>
Support internal capability building, raising awareness and competence in responsible AI across teams.</li><li>
Partner with architects and data scientists to operationalise governance &mdash; model documentation, evaluation, and guardrails.</li></ul><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><ul><li>Minimum 3 years in AI ethics, governance, policy, risk, compliance, or a closely related regulatory field.</li><li>
Sound understanding of AI concepts, risks, and failure modes (deep technical implementation not required).</li><li>
Working knowledge of relevant regulation and standards, including the EU AI Act.</li><li>
Strong stakeholder communication skills, able to engage both technical teams and senior business audiences.</li><li>
Ability to turn principles into pragmatic, usable frameworks and processes.</li></ul><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><ul><li>
Experience in consulting or advisory roles.</li><li>
Familiarity with assurance frameworks (ISO/IEC 42001, NIST AI RMF).</li><li>
Background in data protection, privacy, or model risk management.</li><li>
Exposure to fairness, bias, and explainability tooling.</li></ul><p><b>
You must be:</b></p><ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul><p>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul><p><b>
Why join:</b></p><p>
Responsible AI is central to how we earn client trust and differentiate our practice. You will have the rare chance to shape this capability from an influential position, combining ethics, regulation, and real delivery in work that genuinely matters. As adoption and scrutiny grow, so will your impact and your profile.</p></div>

Responsible AI Specialist (Governance, Ethics & Compliance)

Boston Consulting Group (BCG)

<div>
 Who We Are
 <br/>
 <br/>
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 <br/>
 <br/>
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
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 What You'll Do
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 Are you passionate about harnessing the power of Generative AI to solve real-world
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 problems? As a world-renowned and leading AI Consulting firm, we are actively
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 seeking hands-on GenAI experts to join our PSG BI&amp;A Team.
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 As a GenAI IT Senior Data Scientist you will work closely with our Partner Services
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 Group to understand their key challenges, define GenAI products, win buy-in for your
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 recommendations and collaborate with other IT teams to transform stakeholder
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 potentials into performance.
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 Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&amp;A Data
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 Science expertise and will be responsible for overseeing end-to-end Data Science and
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 GenAI solutions, collaborating closely with the BI&amp;A Squad to deliver on stakeholder
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 objectives.
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 What You'll Bring
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 We&rsquo;re looking for exceptional talent with experience in core Data Science and AI
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  To Join Us. You Will Typically Have
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   +4 years experience in IT strategy and consulting, professional software
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 development or Data Science product organisation.
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   A bachelor's or master&rsquo;s degree in computer science, Engineering, or a related
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   Strong Data Science experience with proficiency in Python, Snowflake, DBT
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 and Tableau with experience working in a Data Engineering team and a
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 proven ability to communicate effectively and provide clear, actionable
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   Strong technical expertise in Generative AI, Data Science and Machine
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   A strategic thinker, entrepreneurial, able to work creatively and analytically in
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 a problem-solving environment
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   Outstanding analytical and conceptual skills, strong customer focus and
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 mental agility with a results orientation
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   Sound understanding of GenAI solution constructs e.g., LLMs, RAG,
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 Guardrails, MLOps and multi-modality
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   Experience managing and executing data science and AI projects, from
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   Understanding of various GenAI platform &amp; middleware and how they fit in
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 GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or
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   Able to understand &amp; apply advanced prompt engineering methods and
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 related concepts (RAG, context windows, memory) RAG is a must!
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   Experience in the organisation of workshops at peer level and facilitating
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 meetings
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   Ability to work autonomously while contributing effectively as part of a team
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   Strong business acumen; can frame complex problems in appropriate
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 business contexts
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   Highly professional and rigorous, results-oriented, driven and hard-working
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   Have excellent verbal and written communication skills in English
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   Loyal and reliable, possessing the highest ethical standard
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   Good interpersonal skills but also judgement independency and autonomy
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   Ability to propose innovative ideas, build empathy within the firm and win the
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 trust of key stakeholders
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 Who You'll Work With
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 You will be part of the PSG BI&amp;A Squad and our IT Functional Technology team,
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 partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI,
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 and Security/Architecture teams. Together, you&rsquo;ll deliver scalable, secure, and
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 <br/>
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 <br/>
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 BCG is an E - Verify Employer. Click here  for more information on E-Verify.
</div>


Global IT Data Scientist Senior Specialist

McKinsey & Company

<div><div><div><div><div><div><div>Job ID: 109890</div></div></div></div><div></div><div><ul><div>
London</div><div>
Madrid</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div>
You will be part of QuantumBlack Labs and the Robotics and Physical AI team within our Advanced Industries Sector, a group of engineers, scientists, product managers, and machine learning specialists building a first of its kind physics AI capability that accelerates and scales how the world designs and builds physical systems.</div><div></div><div>
Our team is responsible for:</div><div><ul><li>
Building multi-physics simulation frameworks, digital twins, and surrogate models that stand in for slow, expensive physics solvers</li><li>
Applying physics-informed machine learning and robotics to real-world engineering systems across advanced industries, from chip design to aircraft manufacturing</li><li>
Deploying scalable, production grade tools on HPC infrastructure that embed our distinctive technical approach and engineering knowledge for industrial clients</li></ul></div><div>
You will lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational insights into strategic recommendations and solutions that deliver measurable impact for clients.</div><div></div><div>
You&rsquo;ll create surrogate models that replace costly simulations, compress design cycles from weeks to minutes, and bring autonomy to robotic systems on the factory floor. Collaborating with global, multidisciplinary teams, you&rsquo;ll drive innovation, develop impactful technologies, and grow as a leader in physical AI.</div><div></div><div>
You will work with diverse and complex engineering data sets, develop scientific software products, and write optimized code to enhance our internal tools. Collaborating with scientists, engineers, and designers, you will leverage advanced math, statistics, and machine learning to deliver impactful solutions and grow the firm&rsquo;s capacity to deliver at scale.</div><div></div><div>
Your work will help clients address their most pressing challenges by deploying cutting-edge technology and amplifying impact across industries. You will also contribute to the broader physical AI community by writing papers, presenting at conferences, and sharing knowledge with colleagues.</div><div></div><div>
You will be based in London or Madrid and collaborate closely with scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you&rsquo;ll work on interdisciplinary projects to solve complex engineering challenges across a range of industries, leading the development and application of cutting-edge physics AI solutions that drive measurable business impact.</div><div></div><div>
You&rsquo;ll grow as a technologist and leader in a collaborative, multidisciplinary environment, pushing the boundaries of innovation while shaping the future of physical AI and robotics.</div></div></div><div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply.</p><p>
Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++).</p><p>
Demonstrated fluency with statistical sampling, machine learning, and data science techniques.</p><p>
Simulation experience, PyTorch, ML/AI/Data Science a plus.</p><p>
Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion.</p><p>
Proficient in rational decision-making based on data, facts, and logical reasoning.</p><p>
Ability to create work-product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables.</p><p>
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.</p><p>
Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times.</p><p>
Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.).</p><p>
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels.</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Physical AI Data Scientist - QuantumBlack Labs

International Swaps and Derivatives Association

<div><div><p>June 30, 2026</p>
<p><b>Job Title:</b> Assistant Director, Artificial Intelligence</p>
<p><b>Reports to:</b> Senior Director, Digital Transformation, Analytics</p>
<p><b>Location:</b> London</p>
</div><div><p><b>Job purpose</b><br>
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab.</p><br>
<p></p>
<p><b>
Duties and responsibilities</b></p>
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market<b><i>.</i></b></li></ul><br>
<p></p>
<p><b>
Relevant Skills / Abilities</b></p>
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div><p></p>

Assistant Director, Artificial Intelligence, London

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience.</li>
<li>3 years of experience building machine learning solutions and working with technical customers.</li>
<li>Experience designing cloud enterprise solutions and supporting customer projects to completion.</li>
<li>Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience working with recommendation engines, data pipelines, or distributed machine learning.</li>
<li>Experience with deep learning frameworks (e.g., TensorFlow, XGBoost).</li>
<li>Understanding of the auxiliary practical concerns in production machine learning systems.</li>
<li>Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.</p><br>
<p>
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with product management and product engineering to build and constantly drive excellence in our products.<br>
<br>
In this role, you are the Google engineer working with Google's largest and most motivated Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.</p><p><br>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Be a trusted technical advisor to customers and solve complex machine learning challenges.</li>
<li>Coach customers on the practical challenges in machine learning systems feature extraction and feature definition, data validation, monitoring, and management of features and models.</li>
<li>Work with customers, partners, and Google Product teams to deliver tailored solutions into production.</li>
<li>Create and deliver best practice recommendations, tutorials, blog articles, and sample code.</li>
<li>Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI Infrastructure Engineer

<p></p><div><div><div>Job ID: R0056420</div>
</div><p></p><div><div><div><div><div>Location</div>
<div>London, Middlesex</div>
</div></div></div><div></div><div><div><div><div>Hours/week</div>
<div>37.5 hrs/week</div>
</div></div></div><div></div><div><div><div><div>Payrate range</div>
<div>Unknown</div>
</div></div></div></div><p></p><div><div><p>We don&rsquo;t just believe in better. We make it happen.</p>
<p>Better content. Better products. And better careers.</p>
<p>Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky.</p>
<p></p><p><b>Role overview</b><br>
<br>
</p><p>We are looking for a highly skilled and motivated <b>Data Scientist</b> to join our team. You will play a crucial part in leveraging machine learning and advanced analytics to drive actionable insights and innovation to combine piracy.</p>
 <p>As a Data Scientist, you will work closely with other data scientists, engineers, and business stakeholders to develop and optimise predictive models, harnessing complex datasets in a cloud-based environment. Your expertise in machine learning, statistical analysis, and AI will help shape data-driven decision-making across the organisation. This is an exciting opportunity to work at the forefront of data science, contributing to cutting-edge projects that have a real impact.</p><br>
<br>
<b>What </b><b>you&rsquo;ll</b><b> do</b>
<ul><li><p>Develops advanced analytics methods such as predictive modelling, time series forecasting, text mining, clustering algorithms etc., using appropriate tools and technologies (Python/R/SAS)</p>
</li><li><p>Analyses large amounts of information to discover trends and patterns in complex datasets.</p>
</li><li><p>Designs experiments and build models that can help improve customer experience or optimise operational efficiency.</p>
</li><li><p>Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions.</p>
</li><li><p>Creates visualisations of results using Tableau or other software packages.</p>
</li><li><p>Monitors performance of models over time by tracking key metrics.</p>
</li><li><p>Present findings in a clear manner using reports or presentations.</p>
</li></ul><p></p><p><b>What </b><b>you&rsquo;ll</b><b> bring</b></p>
<p></p><p><b>Essential Criteria</b></p>
<ul><li><p><b>Hands on experience in</b><b> building ML models</b>, preferably NLP and computer vision.</p>
</li></ul><ul><li><p><b>Experience in Python, SQL</b>, and common data science libraries (Pandas, Scikit-Learn, TensorFlow etc).</p>
</li></ul><ul><li><p><b>Experience with big data pipelines and platforms </b>like BigQuery.</p>
</li></ul><ul><li><p>Strong statistics, algorithms, and data modelling knowledge.</p>
</li></ul><ul><li><p>Ability to derive actionable insights from analysis.</p>
</li></ul><ul><li><p>Excellent communication skills, analytical mindset, ethics and bias awareness.</p>
</li></ul><p></p><p><b>Benefits and </b><b>perks</b><br>
<br>
</p><p>There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here&rsquo;s a taster:</p>
<ul><li><p>Free Sky TV or NOW package, including Sky Sports and Sky Cinema</p>
</li></ul><ul><li><p>Pension package with up to 9% employer contribution</p>
</li></ul><ul><li><p>Private healthcare with mental health support</p>
</li></ul><ul><li><p>Aviva Digital GP and dental insurance</p>
</li></ul><ul><li><p>Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect</p>
</li></ul><ul><li><p>Sharesave and Tech schemes</p>
</li></ul><ul><li><p>A range of Sky VIP rewards and experiences</p><br>
</li></ul><p></p><p><b>How </b><b>you&rsquo;ll</b><b> work</b></p>
<p>We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week.</p><p><br>
</p><p><b>Your office base</b></p>
<p><b>Osterley</b><br>
<br>
</p><p>Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there&rsquo;s plenty of space to see your big ideas come to life. Here you&rsquo;ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon.</p>
<p>Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there&rsquo;s free onsite parking available for cars, motorbikes and bicycles.</p>
<p></p><p><b>Who we are</b></p>
<p>We&rsquo;re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you&rsquo;ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society.</p><br>
<p></p><p>We&rsquo;re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can.</p><br>
<p></p><p><i>Just so you know: if your application is successful, </i><i>we&rsquo;ll</i><i> ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.</i></p>
<p></p><p><i>To be eligible for this role you </i><i>are required to</i><i> have the </i><i>appropriate right</i><i> to work in the UK. Please be aware Sky does not offer sponsorship for this position.</i></p>
<p></p><p>To find out more about working with us, search <b>#LifeAtSky</b> on social media.</p></div></div></div><p></p>

Data Scientist (Mid-level)

in-tech group Ltd

<p><b>About the Job</b></p><p>At in-tech, we are working to make mobility more sustainable and more intelligent.</p><p>As a specialist in electronics and software for the past 20 years, in-tech develops innovative solutions for the automotive sector.</p><p>A dynamic and fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 08 countries.</p><p>We are looking for Sr Java Full stack Engineer with strong expertise in Java, Spring Boot, React, and AWS, along with experience building AI/agentic solutions. This role requires someone with strong ownership, technical leadership, and the ability to drive projects end-to-end and work in the client location in London at Hybrid basis.</p><p><b>Key Responsibilities</b></p><ul><li>Lead the design, development, and delivery of scalable full-stack applications using Java, Spring Boot, React, and AWS.</li><li>Own the complete software lifecycle &mdash; from architecture and development to deployment, monitoring, and continuous improvement.</li><li>Build and integrate AI-powered solutions, including LLM-based workflows, autonomous agents, copilots, and orchestration frameworks.</li><li>Design secure, resilient, and high-performance cloud-native systems on AWS.</li><li>Collaborate closely with product managers, designers, architects, and engineering teams to translate business requirements into technical solutions.</li><li>Drive technical best practices, code quality, engineering standards, and system reliability.</li><li>Mentor engineers and contribute to a strong culture of collaboration, accountability, and continuous learning.</li><li>Proactively identify technical risks, bottlenecks, and opportunities for optimization.</li><li>Participate in architectural discussions, technical planning, and strategic technology decisions.</li><li>Implement CI/CD pipelines, observability, testing strategies, and DevOps best practices.</li><li>Stay current with emerging AI technologies, agent frameworks, and modern engineering trends.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>7 - 8 years of software engineering experience with strong full-stack development expertise.</li><li>Strong proficiency in: Java , Spring Boot / Microservices, React.js, REST APIs, AWS cloud services</li><li>Proven experience designing and deploying distributed cloud-native applications.</li><li>Mandatory hands-on experience building AI/LLM-based applications and agentic systems.</li><li>Experience with AI orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.</li><li>Strong understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI integration patterns.</li><li>Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.</li><li>Strong system design and architecture capabilities.</li><li>Ability to independently drive initiatives with end-to-end ownership.</li><li>Excellent problem-solving, communication, and stakeholder management skills.</li><li>Strong collaborator with a proactive, self-driven mindset.</li><li>Willingness to work at client office in London on hybrid basis.</li></ul><p><b>Apply with us</b></p><p>If you have the experience, team spirit and are looking for a great place to work, then start your job with us.</p><p>As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.</p><p>Application question(s):</p><ul><li>Notice Period</li><li>Experience with working AI Frame works and Agents?</li><li>Do you require Visa Sponsorship?</li><li>Are you fine to relocate to London?</li></ul><p>Work Location: Hybrid remote in London</p>

Senior Java Full Stack Engineer (Spring Boot, React, AWS, AI)

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