Graduate Recruitment Consultant - Sporting Background
On site
London, United Kingdom
£ 28,000 / year
Full Time
22-04-2025
Job Specifications
Our client was incorporated in January 2016 with a sole mission: to change the way organisations address their Cybersecurity & eDiscovery hires.
They partner with companies of all sizes to ensure they secure and retain the best talent possible. We operate in a global market with offices in London, Amsterdam, and New York City, providing candidates with the best permanent and contract opportunities. We specialize in placing exceptional Cyber Security and Forensic Technology candidates across the UK, Europe, USA, and Asia, collaborating with outstanding clients in each region.
No prior knowledge of the cybersecurity market is required. However, our non-negotiable requirement is a strong desire to learn and the drive to be a top recruiter in this highly competitive industry. You must possess a hunter’s mindset—determined, resilient, and eager to prove yourself. The most successful recruiters thrive in high-pressure sales environments, embracing challenges and handling rejection with persistence and confidence.
Responsibilities:
Making business development calls to prospective and existing clients to win projects to work on.
Headhunting candidates to place onto your clients' projects. Building and maintaining relationships.
Writing job adverts, building your personal brand, and creating social media content to attract top talent.
Working the full recruitment lifecycle from qualification calls, booking in interviews, and delivering offers.
Predominantly working a US market and working US hours from the UK
Qualifications and Expectations:
University Graduate – Graduated 2023 onwards
A high-level sporting background is must i.e Captain of Rugby Team, played semi professional football, competed professionally etc
Available to start in April 2025
Experience in sales, real estate, business development, car sales, or telesales is desirable.
Confident, outgoing personality.
A good understanding of the recruitment industry - this will be explored in the interview
Commutable distance to our Liverpool Street offices, ideally you are London based already.
Clear personal & professional goals – these will be explored in the interview.
Strong written & spoken communication.
Great ability to build & maintain relationships.
Interview Process:
1st stage video call with Talent Team
2nd stage video call with Iceberg Co-Founder
Final stage interview in person, meeting Co-Founder and the rest of the team
Please apply with a full CV
Successful candidates will be contacted within 7 days
About the Company
MRC is a specialist recruitment brand, solely dedicated to the placement of graduates and early-stage professionals into the world of Executive Search Recruitment. We have 10 years of experience within the UK Recruitment arena and we are partnered with the most formidable firms in the country. We educate and mentor our graduates and trainees, to prepare them before launching their recruitment careers. Our industry leading training has been crafted over a decade to ensure the most seamless transition into recruitment consul... Know more
Related Jobs
- Company Name
- Confluent
- Job Title
- Senior Software Engineer
- Job Description
- With Confluent, organisations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organisation to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. About The Role As a Software Engineer, Cloud Control Plane, you will be designing and implementing a distributed control plane used by product teams to manage the lifecycle of their Confluent Cloud offerings. We are a tightly knit group with a fairly mature Agile process running a very mild version of the XP playbook - we care a lot about clear communication, a good degree of task breakdown and a whole lot of pairing with other engineers. We pride ourselves in how we get stuff done - our process is light on red tape and heavy on collaboration - we will give you the authority and autonomy to make decisions. What You Will Do Delve deep into the Kubernetes framework - we have K8S contributors working with us internally Provision infrastructure using a mixture of Terraform and internal tooling and deploy your changes using Helm Thrive working iteratively in a fast-paced Scrum environment where you'll use our product and be very much DevOps driven You'll be expected to not only ship code but also operate and support it before and after release - that includes having a deep understanding of what your code will run on What You Will Bring Strong software design and implementation skills in building infrastructure frameworks Deep expertise in building distributed systems Experience with one or more of these programming languages - Go, C++, Java, or Python Experience in a full project lifecycle starting from zero lines of code to operating, observing and supporting a product as part of an on-call rota Solid understanding of Kubernetes and Docker What Gives You An Edge Experience in building control planes (virtualization, software-defined networking/storage) Experience building APIs - both RESTful and gRPC-based Familiarity with infra such as networking, storage, and security in data centres Hands-on experience with Kubernetes operators, Helm, or StatefulSets Open source contributions to Kubernetes sigs or adjacent projects Experience with PBT, TDD, and pair programming Come As You Are At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Click HERE to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
- Company Name
- Altos Labs
- Job Title
- Machine Learning Engineer
- Job Description
- Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos Altos Labs is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team work at multiple scales including data from Electron/Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities Evaluate state of the art and Retrain AI models across the full spectrum of imaging including: de novo protein design, structure identification and dynamics in single particle CryoEM ; light microscopy and multi-omics data integration and cross domain mapping of data collected in situ and in vivo. Demonstrate software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment. Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and software engineers. Bridge the communication gap between experimental scientists, algorithm developers and software deployers. Who You Are Minimum Qualifications BS/MS in Computer Science/Biomedical Engineering or related quantitative field. Candidates should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorfllow, Pytorch Lightning etc. Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer Vision applications and multi modal integration. Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics. Demonstrated track record of hands-on technical leadership and scientific contributions such as papers or conference communications. Excited to design and implement technical and cultural standards across scientific and technical functions. Preferred Qualifications Bioinformatics data processing and analysis. Multi source data Integration. Experience with cloud computing and containerization. Knowledge of genetics/human genetics The salary range for Cambridge, UK: Machine Learning, Engineer I: £56,100 - £75,900 Machine Learning, Engineer II: £70,550 - £95,450 Exact compensation may vary based on skills, experience, and location. Before submitting your application: Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/
- Company Name
- Prism Digital
- Job Title
- DevOps Engineer
- Job Description
- DevOps Engineer | AWS, Lambda, Terraform | Web3 Crypto Innovation Hub Step into the engine room of one of London’s most exciting Web3 gaming ventures. This is a chance to build future-defining crypto gaming products, from live casinos to blockchain lotteries, backed by the financial firepower of a hedge fund but with all the energy of a creative startup. You’ll join a small (currently 8 people, growing to 20 over the next 12–18 months), highly technical team incubating blockchain-native entertainment products. The office? A Georgian townhouse near Oxford Circus with a games room, tequila bar, and takeaways on tap. The people? Ex-iGaming, crypto-first, sharp engineers, and relentless builders. This is a product-led, code-first culture with the runway to move fast and own real outcomes. What you’ll be doing: AWS Lambda, S3, EventBridge, SQS and API Gateway – architect and implement secure, serverless infrastructure. Terraform – define, version, and manage infrastructure as code across multiple environments. GitHub Actions & OIDC – build and maintain automated CI/CD pipelines with secure authentication. Datadog, Prometheus or similar – implement logging, metrics, and alerting for robust observability – the interim CTO is keen to hear your recommendation(s) on tooling and implementation strategy. Disaster recovery and security tooling – ensure platform resilience and safe deployment of backend and smart contract code. Event-driven architecture – where you will be building, supporting and running scalable systems that can handle millions of users per day. You will be the sole DevOps Engineer managing the serverless cloud architecture, so it’s essential you have a wealth of experience and that you’re confident in making decisions alone without the support of a manager or a team around you, as you will have complete autonomy for the AWS platform and DevOps tooling and methodologies. Essential Skills: AWS serverless expertise – especially Lambda, EventBridge, SQS, and API Gateway Terraform experience in production-grade infrastructure with modular codebases CI/CD with GitHub Actions including secure deployments using OIDC Production-grade monitoring – logs, alerts, cost optimisation, and troubleshooting in a high-scale setup Infrastructure from scratch – comfortable bootstrapping systems and maturing them into live platforms Nice to have: Blockchain infrastructure knowledge – nodes, RPC endpoints, oracles etc. Amplify or other scaling frameworks in high-volume environments Crypto-native mindset – understanding of the pace, tech stack, and risks of Web3 Why this team? Generous earning potential and growth Token upside potential as products go live Hybrid work set up (3 days onsite is the norm, but some flex considered) Fully stocked bar, Friday socials, arcade machines and ambitious roadmaps Ownership from day one and a team that wants your opinion, not just your commits £110,000 - £130,000 annual salary DevOps Engineer | AWS, Lambda, Terraform | Web3 Crypto Innovation Hub
- Company Name
- DV Trading LLC
- Job Title
- Java GUI Engineer
- Job Description
- About Us: Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: We are looking for a Java Software Developer to help us expand, productize and optimize our trading software stacks (in particular our exchange stack and trading infrastructure). Responsibilities: Participate in design, implementation, and deployment of trading systems and supporting applications Work on cross-functional teams across trading, quants and development to troubleshoot and solve complex problems Integrate and certify with exchanges and other third parties Monitor production trading systems and optimize performance for latency and throughput Requirements: Bachelor's Degree in Computer Science, Engineering, and/or a related field Experience building performant, scalable applications in Java Experience building dynamic GUI elements in Java Swing Passion for learning, working with new technologies, and working on high-visibility projects Solid understanding of object orientation, parallel programming, unit testing, and performance analysis Experience working in Linux and Windows environments Highly collaborative in nature with excellent written and verbal communication skills