We’re ASOS, the online retailer for fashion lovers all around the world.We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.Job DescriptionWe are seeking a Machine Learning Engineer with a strong foundation in deep learning to join a cross‑functional team. You’ll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of data‑rich challenges.In this role, you’ll contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalised customer targeting, all at enterprise scale.Key ResponsibilitiesCollaborate with cross‑functional teams to design, implement, and optimise machine learning models for real‑world business use cases.Deploy and maintain both batch and real‑time machine learning systems at scale.Work alongside data scientists to translate experimental models into robust production‑ready solutions.Continuously improve model accuracy, system efficiency, and platform capabilities.Contribute to defining team best practices and engineering standards in machine learning development.Stay up to date with the latest industry research and bring new insights to the wider ML community within the business.QualificationsAbout YouHands‑on professional experience in developing and deploying machine learning solutions, with a focus on deep learning.Experience working with modern ML frameworks and familiarity with end‑to‑end deployment workflows.Proficiency in training models using GPUs, and a strong interest in distributed computing and scalable systems.Familiar with software development practices including version control, CI/CD, containerisation, and monitoring,especially within ML Ops workflows.A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams.Motivated self‑starter with a desire to learn, share knowledge, and grow in a fast‑paced environment.Additional InformationCompetitive salary and performance‑based bonus schemeGenerous employee discount and exclusive product accessStructured personal and professional development opportunitiesPaid annual leave plus an additional day for special personal milestonesFlexible benefits allowance and private medical care optionsAccess to a variety of online learning resources and employee‑led communitiesA supportive, inclusive, and dynamic workplace where innovation thrivesJob Location

#J-18808-Ljbffr

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.

This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.

Skills required:

• Proficient in several of the following: Python, C#, C++, Java
• Mathematical Modelling
• Mathematical skills, particularly a keen understanding of probabilities and statistics
• Analytic mindset
• Strong communication skills
• Accuracy and attention to detail
• Experience in data science
• An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed)

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Data Engineer Opportunity, DV-cleared only

London Manchester Bristol

A progressive, leading-edge UK consulting and technology organisation is hiring Data Engineers to deliver mission-critical work across defence and security programmes, building modern data platforms and production-grade pipelines that enable better decisions at pace. Active DV clearance is essential, we are seeking DV cleared candidates only.

The role
You’ll design and deploy production-grade data pipelines, from ingestion through to consumption, within a modern big data architecture. Work is delivery focused and delivered using agile engineering practices.

Typical responsibilities
Build and operate robust pipelines across ingestion, processing, and consumption
Use scripting, APIs, and SQL to extract, transform, and curate data
Process large structured and unstructured datasets, integrating multiple sources
Collaborate with stakeholders and delivery teams to drive outcomes
Core skills (indicative)
Production pipeline design and deployment experience
Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant
AWS, Azure, GCP

Working pattern

Hybrid working, with the team on client site or in the office a minimum of two days per week. Actual time and location will vary by role or assignment.

Responsibilities

• Research and analyse trading outcomes to assess effectiveness of execution strategies
• Build and refine quantitative models to improve algorithmic trading performance
• Implement elements of trading logic in Python and work closely with engineering teams
• Partner with clients to explain model behaviour, review performance and gather feedback
• Support clients in an execution consulting capacity to optimise use of trading products

Key Skills & Experience

• Strong quantitative mindset with passion for data and research
• Strong Python development skills (Java exposure beneficial but not core)
• Experience with electronic trading strategies and market microstructure
• Knowledge of European equities markets
• Exposure to distributed systems and large-scale data analysis desirable
• Excellent communication skills; able to work with global teams and clients
• High-frequency trading experience advantageous

Permanent role - Central London based - hybrid working

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.

Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

The Senior Algorithm Engineer role in GCN (Guidance, Control, and Navigation) is a highly visible, strategic position, working with a highly capable technical team. This role presents a rare opportunity for hands-on technical involvement, research and strategy steering, without line management duties.

Salary: Up to £65,000, depending on experience

Dynamic (hybrid) working: 5 days per week on-site due to workload classification

Security Clearance: British Citizen or a Dual UK national with British citizenship

Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.

What we can offer you:

• Company Bonus: Bonus of up to 21% of base salary
• Pension: maximum total (employer and employee) contribution of up to 14%
• Flexible working: We welcome applicants who are looking for flexible working arrangements
• Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments
• Facilities: Fantastic site facilities including subsidised meals, free car parking and much more…

The opportunity:

As a Senior Algorithm Specialist you will develop your expertise both at a detailed Guidance & Control design level, and up through the higher architectural levels, where you can demonstrate a capability for rigorous system analysis and management of complexity.

You will influence the current and future direction for design and testing of sophisticated missile Guidance & Control (G&C) systems, spanning specialist algorithms, real-time architecture, and complex equipment including RF & IR seekers, inertial sensors, actuators, propulsion (turbojets, ramjets and thrust-vectored rockets), and interfaces to surface and air launch platforms.

You will have the opportunity to collaborate widely across departmental, directorate and national boundaries, and to be involved across multiple programmes at various points in their respective lifecycles, from the early research and concept stages through to full-scale development and guided flight trials.

What we’re looking for from you:

• Theoretical knowledge and extensive experience of aerospace guidance, control and navigation specification, analysis, algorithm design & implementation, real time architecture and verification
• Ability to bound the scope of an engineering problem and to express the design challenge in terms of clear unambiguous design requirements/objectives
• Managing complexity by identifying major drivers in a large, inter-connected engineering system
• Able to cross-verify complex systems and system models against underlying theory
• Communicating complex or conceptually difficult ideas clearly
• Diagnosing abnormalities in an engineering system both physically and virtually through computer modelling and simulation (Matlab & Simulink)
• Influencing technically when there are other factors driving teams
• A particular interest in applications with control experience, preferably applied flight control, bit this is not essential

Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given

MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.

We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more…

We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.

Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

#LI-CT1

A growing technology team is developing a new generation of intelligent, audio-driven products designed to interpret real-world acoustic environments and generate meaningful insight. As development accelerates, they are seeking an Audio Machine Learning Engineer to shape how sound is analysed, classified, and translated into useful information across edge and cloud platforms. The Opportunity Working alongside embedded, hardware, and software specialists, you will contribute to the full lifecycle of audio intelligence, from dataset strategy and model design through to optimisation and deployment. The role offers genuine ownership and the chance to influence core technology within a product-focused engineering environment. Required: Core experience Strong grounding in audio machine learning or applied signal processing Experience training and evaluating models using modern ML tooling Awareness of real-world acoustic challenges such as noise, reverberation, and variability Comfort working in a small, fast-moving engineering team Likely a PhD or MSc + some industry experience Beneficial Edge or embedded ML optimisation Audio feature extraction or DSP knowledge Postgraduate study in a relevant technical discipline Experience with sensing, monitoring, or real-world data systems

C++ Software Engineer Portsdown West (PO17) Full-time Onsite Salary £50,000 - £65,000 25 days annual leave inclusive of up to 3 days Christmas shut-down Buy or sell up to 5 days annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Our Electronic Warfare Operations Support (EWOS) team. A group of over 60 engineers, scientists, and former military specialists who combine their expertise to help our customers protect their people and platforms safe while achieving their full operational potential. About the Role MASS is growing its Electronic Warfare Operational Support (EWOS) team at Portsdown West, (Fareham, Hampshire). We are looking for a talented C++ Software Engineer with experience of working with simulation models, to support cutting edge research, development, and delivery projects, led by our technical customer, Dstl. This role is largely based within an in-house simulation framework (ITASE) with responsibilities to include: Developing toolsets, models, and integration activities in the ITASE framework. Incorporating or adapting additional existing Dstl data/models (e.g. signatures) into studies. Library linking, development from theory, and re-coding of existing algorithms and data. Understanding and aligning assumptions and data across components. Understanding and implementing the interactions of multiple entities in a scenario. Within the role, you will have the opportunity to influence real-world operations through the software you develop. This could be through behavioural effects within a faster-than-real-time simulation environment, or plugins to interface hardware models in a real-time environment. This role will offer the variety and autonomy to showcase your skills as a software developer. Given the importance of assurance to the end user, your knowledge of the software development lifecycle and modern technologies (e.g. HPC, distributed architectures focusing on edge computing) is essential to better enable development at pace. This work will allow you the opportunity to interact with customers, understanding how the software models are to be used, and their high-level requirements. Your creativity and autonomy will help translate these asks into deliverable software products. What we are looking for: Strong background in software development for simulation environments. Strong C++ programming skills. Experience with Visual Studio/Windows/Linux development tools. Clear communication skills to explain/adapt models. Working autonomously to solve unique problems. Supporting Skills: RF system knowledge and/or broader systems engineering experience Experience using MATLAB or Python (model integration). Familiarity with Defence/Air Platform protection systems and threat systems (e.g. SAMs, IADS, Sensors, FPVs). Knowledge of RF countermeasure and flyout simulation tools, ideally gained within a defence setting. Experience with HPC architectures. Non-negotiables: Due to the highly secure nature of the projects that you will be involved with, youmustbe: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK GovernmentSC-levelsecurity clearance Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced, digital services that manage data and keep information safe. With our heritage in defence, we offer robust solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled, technical experts. We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so youre ready for digital transformation. MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact. Join MASS and play a key role in operational analysis that strengthens defence capability and protection. TPBN1\_UKTJ

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week. We are seeking Engineers skilled in python with a strong focus on GenAI AI and LLMs to lead the integration of cutting-edge language technologies into real-world applications. If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you! We’re looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document summarisation, Q&A, content generation. To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise dataMLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards A/B Testing: Experience evaluating GenAI features in production environments Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

DATA ANALYST

CONTRACT INSIDE IR35

LONDON, 2 DAYS ONSITE

Description

A proficient specialist who applies mathematical, problem-solving, and coding skills to manage data, extracting valuable insights, designing tailor-made solutions from data, aiding our business in achieving unique objectives and goals.

Reporting to the Head of Customer Operation, key accountabilities include:

• Undertaking data collection, preprocessing and analysis
• Building models to address business problems
• Presenting information using data visualisation techniques
• Support in the delivery of the charging, data and reporting services for the Customer Operations department.
• Work collaboratively with the Customer Service Manager and peers within the Customer Management Team on the delivery of the team and departmental strategies.
• Identify valuable data sources and automate cleansing processes
• Undertake preprocessing of structured and unstructured data
• Analyse large amounts (several million records) of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling
• Present information using data visualisation techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Skills

• Sql
• Data
• Power Bi
• Python
• Data analysis

Job Title: Data Analyst

Location: London, UK

Rate/Salary: 150.00 - 200.00 GBP Daily

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as “Allegis Group”). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the “Contacting Us” section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.