Qureos Mentor

Talan

<div>Company Description 
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). 
Job Description 
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.
Required skills &amp; experience:<ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul>
You must be:<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>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<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>
Why join:
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</div>

Lead Data Scientist (Classical ML, LLMs & AI Agents)

<div>Company Description 
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). 
Job Description 
As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale.
You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds.
This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide.
Required skills &amp; experience:<ul><li>
Lead end-to-end solution architecture for AI and LLM-based systems, spanning data, integration, infrastructure, and deployment.</li><li>
Design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably.</li><li>
Shape early-stage engagements (scoping, solutioning, estimation, and pre-sales) turning client ambition into deliverable technical plans.</li><li>
Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery.</li><li>
Define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation, and guardrailing approaches.</li><li>
Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready.</li><li>
Set architectural standards, reusable patterns, and reference implementations that raise the quality bar across the practice.</li><li>
Partner with Responsible AI colleagues to embed safety, security, and governance into solution designs from the outset.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments.</li><li>
Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration.</li><li>
Strong cloud engineering experience.</li><li>
Proven MLOps / LLMOps capability &mdash; CI/CD for models, monitoring, evaluation, and cost optimisation.</li><li>
Hands-on software engineering background (Python and modern tooling) underpinning your architectural decisions.</li><li>
Comfort managing multiple engagements at once, with pragmatic judgement on trade-offs and delivery risk.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Experience in consulting, professional services, or pre-sales environments.</li><li>
Exposure to enterprise-scale, regulated AI deployments (financial services, public sector, healthcare).</li><li>
Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques.</li><li>
Relevant cloud or AI certifications.</li></ul>
You must be:<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> 
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<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>
Why join:
You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied, intellectually demanding, and commercially significant, you will shape solutions that reach production, not slideware. You will have the autonomy to define how we build, the support of a collaborative multidisciplinary team, and a clear platform to grow into a practice-leading technical figure.</div>

AI Architect / Engineer (Agentic AI & LLM Architecture)

<div>
 
 
 Talan &ndash; Positive Innovation
 
 
 
 Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of &euro;850M, we are committed to delivering impactful, future-ready solutions.
 
 
 
 Talan at a Glance
 
 
 
 Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we&rsquo;ve built a strong presence in the IT and consulting landscape, and we&rsquo;re on track to reach &euro;1 billion in revenue this year.
 
 
 
 Our Core Areas of Expertise
 
 
 
 
 <ul>
 <li>
 
 Data &amp; Technologies:
 
 We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
 
 
 
 </li>
 <li>
 
 
 Cloud &amp; Application Services:
 
 We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
 
 
 
 </li>
 <li>
 
 
 Management &amp; Innovation Consulting:
 
 We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.
 
 
 
 
 
 
 </li>
 </ul>
 
 We work with major global clients across diverse sectors, including Transport &amp; Logistics, Financial Services, Energy &amp; Utilities, Retail, and Media &amp; Telecommunications.
 
 
 
 
 Job Description
 
 
 
 
 As a
 
 Backend Spark developer
 
 , your mission will be to develop, test and deploy the technical and functional specifications from the Solution Designers / Business Architects / Business Analysts, guaranteeing the correct operability and the compliance with the internal quality levels.
 
 
 We need somebody like you to help us in different fronts:
 
 
 
 <ul>
 <li>
 You will develop end-to-end ETL processes with Spark/Scala. This includes transferring data from/to the data lake, technical validations, business logic, etc.
 </li>
 <li>
 You will use Scrum methodology, and be part of a high performance team
 </li>
 <li>
 You will document your solutions in the tools: JIRA, Confluence, ALM
 </li>
 <li>
 You will certify your delivery and its integration with other components, designing and performing the relevant test to ensure the quality of your team delivery
 </li>
 <li>
 You will work side by side with a technical specialist who will help you to improve the architecture and technical implementation of the solution in place
 </li>
 <li>
 You will collaborate with cross-functional and cross-country teams to integrate data from various sources
 </li>
 <li>
 You will develop and maintain data hub and data pipelines in microservices architecture
 </li>
 <li>
 You will collaborate with other developers to maintain and improve CI/CD pipelines
 
 
 
 </li>
 </ul>
 
 
 
 WHAT WE ARE LOOKING FOR
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science or a related field.
 </li>
 <li>
 1+ years of experience in data/software engineering (preferable in banking)
 </li>
 <li>
 Experience with Integration Solutions (using API and Microservices)
 </li>
 <li>
 Programming backend applications with BigData technologies(
 
 Apache Spark
 
 )
 </li>
 <li>
 Agile approach for software development
 </li>
 <li>
 Continuous Integration (Git, GitHub)
 </li>
 <li>
 Knowledge of SQL databases
 </li>
 <li>
 English (at least B2+)
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Preferred qualifications
 
 
 
 
 <ul>
 <li>
 Git hub actions
 </li>
 <li>
 Scala or Python
 </li>
 <li>
 Bash scripting
 </li>
 <li>
 ControlM, AirFlow
 </li>
 <li>
 Software development life cycle (HP ALM,..)
 </li>
 <li>
 Basics of cybersecurity &amp; Quality (sonar&hellip;)
 </li>
 <li>
 Basics of Cloud computing (Docker, Kubernetes, S3, Azure, AWS, EMR, DataBricks)
 </li>
 <li>
 SOA Architecture
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What do we offer you?
 
 
 
 
 <ul>
 <li>
 Full-time contract.
 </li>
 <li>
 Smart Office Pack so that you can work comfortably from home.
 </li>
 <li>
 Training and career development.
 </li>
 <li>
 Benefits and perks such as
 
 private medical insurance
 
 , life insurance.
 </li>
 <li>
 Possibility to be part of a multicultural team and work on international projects.
 </li>
 <li>
 
 This is a hybrid position based in Warsaw, Poland. Relocation is mandatory.
 
 </li>
 <li>
 Possibility to manage work-permits.
 
 
 
 </li>
 </ul>
 
 If you are passionate about development &amp; tech, we want to meet you!
 
 
 
 
 
 Talan Spain&rsquo;s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company&rsquo;s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).
 
 
 
</div>

Copy of Junior Back-End Developer - Big Data  (Relocation to Poland)

Join Talan and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Talan

About Company

Lead Data Scientist (Classical ML, LLMs & AI Agents)

AI Architect / Engineer (Agentic AI & LLM Architecture)

Copy of Junior Back-End Developer - Big Data (Relocation to Poland)